ASCH Platform
Company intelligence Management

ASCH Platform Company Intelligence, Employees & Workforce Signals

People graph depth
12 signals
Deep profile graph across 3 mapped departments.
Account research
6 steps
Account research checklist combines buying-committee coverage, ICP fit, technology workforce evidence, related-company graph, domain trust, and people graph depth; raw contact values are hidden.
Technology talent
10
Technology-oriented role signals in the workforce graph.
Domain trust
Basic domain identity
Domain evidence combines website domain, social profile, and company email sample; raw email addresses are hidden.
Evidence quality 100/100 Priority intelligence record

AeroLeads company intelligence

ASCH Platform workforce intelligence signals

Evidence from AeroLeads company records, matched professional profiles, and related company graph.

High confidence
Intelligence completeness
Strong intelligence record
7 of 11 major intelligence groups are available for this company.
Largest mapped team
IT
3 profile signals in IT.
Departments mapped
3
Workforce composition from AeroLeads profile data.
Profile graph
Deep profile graph
12 mapped workforce signals against a 17 employee size estimate.
Top seniority band
Individual contributor
6 of 10 classified profile signals.
Technology talent
3
Technology roles and departments found in workforce signals.
Social followers
57
Audience size from company social data.

Profile graph researchability

Visible people graph includes 10 visible people: 10 named, 10 titled, 10 located, and 0 contactable.

Multi-signal profile graph
Profile coverage evidence tier: Deep profile coverage evidence. Profile coverage evidence combines 12 mapped workforce signals, 17 employee size estimate, and 70.6% profile graph coverage.
Multi-signal profile graph evidence: Researchability is based on 10 visible people with 3 populated evidence dimensions: named, titled, and located signals.
People
10
Named
10
Titled
10
Located
10
Contactable
0

Data methodology

AeroLeads renders only source-backed fields for this company page.

4 source groups
Company record Matched profile graph Related company graph Company signal fields
Blank source fields are omitted
Related companies are ordered deterministically
Structured data uses aggregate counts only

Intelligence completeness

7 of 11 major intelligence groups are available for this company.

7 / 11 groups
Strong intelligence record 63.6%
Workforce composition Contactability Decision makers Buying committee Technology talent Domain confidence Market and peer context

Evidence quality

This page clears the 60+ AeroLeads company-intelligence evidence threshold.

100 / 100
Priority intelligence record Threshold 60+
Workforce composition Department seniority map Business function mix Functional team estimates Functional coverage gap Decision-maker coverage
Workforce graph
18 signals
Workforce composition, Department seniority map, Business function mix
Source trust
11 signals
Functional team estimates, Functional coverage gap, Domain confidence
Decision-maker intelligence
5 signals
Decision-maker coverage, Leadership signals, Department leadership coverage
Technology intelligence
4 signals
Technology talent, Technology role diversity, Technology leadership depth
Contactability
5 signals
Official-domain contact freshness, Company email sample, Contact data safety guardrail
Market and peer context
13 signals
Related company graph, Peer graph strength, Peer position benchmark
Company momentum
4 signals
Company signal breadth, Company ownership signal, Funding signal
54 additional source-backed evidence signals are counted in this page quality score.

Prospecting readiness

ASCH Platform shows research-first prospecting fit based on decision-maker coverage, technology workforce evidence, people graph depth, and peer context.

40 / 100
Research-first prospecting fit Corroborated prospecting evidence

Prospecting evidence combines decision-maker coverage, technology workforce evidence, people graph depth, and peer context; raw contact values are hidden.

ICP fit
Qualified ICP fit

ICP fit combines company size, market specificity, buying committee, technology path, and people graph depth; raw contact values are hidden.

73 / 100
Company size
17 employees
Employee estimate is in a common outbound prospecting range.
Market specificity
Focused market profile
12 market classification signals across categories, specialties, and related peer industries.
Buying committee
Mapped buying committee
Mapped decision-maker signals span 2 business functions.
Technology path
Mapped technology evidence
10 matched technology role signals found in the workforce graph.
People graph depth
Deep profile graph
12 mapped workforce signals against a 17 employee size estimate.
Account research checklist
Multi-step account research checklist

Account research checklist combines buying-committee coverage, ICP fit, technology workforce evidence, related-company graph, domain trust, and people graph depth; raw contact values are hidden.

6 steps
Map reachable buying committee
Mapped buying committee
Buying-committee evidence combines 2 mapped buying-committee functions and Executive / corporate and Product / design function coverage.
Validate ICP fit
Qualified ICP fit
ICP fit combines company size, market specificity, buying committee, technology path, and people graph depth; raw contact values are hidden.
Review technology path
Mapped technology evidence
10 matched technology role signals found in the workforce graph.
Compare related peers
Limited peer comparison
Compares this company with related-company evidence across employee scale and peer graph evidence.
Check domain trust
Basic domain identity
Domain evidence combines website domain, social profile, and company email sample; raw email addresses are hidden.
Review people graph depth
Deep profile graph
12 mapped workforce signals against a 17 employee size estimate.
Decision-maker coverage
Mapped buying committee
Mapped decision-maker signals span 2 business functions.
Technology contact path
Mapped technology evidence
10 matched technology role signals found in the workforce graph.
People graph depth
Deep profile graph
12 mapped workforce signals against a 17 employee size estimate.
Peer context
Multi-signal peer benchmark evidence
Peer benchmark combines 3 related companies with peer graph strength, size benchmark, and size position. Underlying peer graph includes 3 evidence types: employee benchmarks, website records, social profiles.
Person-level contact coverage missing: No visible people on this page include email or phone contact evidence.

Domain trust signals

Domain confidence for asch.io is based on website domain, social profile, and company email sample.

45 / 100
Basic domain identity Corroborated domain evidence

Domain evidence combines website domain, social profile, and company email sample; raw email addresses are hidden.

Website domain
asch.io
The official website domain is available from the company source record.
Social profile
LinkedIn organization page
A LinkedIn organization page is present for this company record.
Company email sample
3 official-domain source email records
Company-level email source records include official-domain coverage; raw addresses are hidden.

AeroLeads coverage snapshot

Profile sample
4
Visible people attached to this company page.
Profile graph depth
Deep profile graph
12 mapped workforce signals against a 17 employee size estimate.
Department coverage
3
Departments represented in AeroLeads workforce signals.
Department concentration
Multi-department workforce
Mapped workforce signals span 3 departments, led by General.
Leadership signals
4
Department lead or leadership signals in the org data.
Department leader sample
Department leader sample
AeroLeads source data includes 3 leadership signals across 2 departments; rows show titles and contact-channel presence only.
Department leadership coverage
Broad department leadership coverage
Leadership signals appear across 2 of 3 mapped departments.
Leadership density
33.30
Percent of mapped department signals that are leadership signals.
Department seniority map
Multi-department seniority map
Visible department samples map 10 seniority-classified profiles across 3 departments and 4 seniority bands.
Technology talent
10
Visible profiles matching technology role patterns.
Technology evidence confidence
Mapped technology evidence
10 matched technology role signals found in the workforce graph.
Technology department signals
3
Mapped department profile signals in technology-oriented teams.
Domain confidence
Basic domain identity
Domain confidence for asch.io is based on website domain, social profile, and company email sample.
Contact freshness
Dated contact metadata
AeroLeads source data includes 3 dated contact records; 0 fall within 90 days and 0 fall within 12 months of the Jun 2026 source update. Raw emails and phone numbers are hidden.
Contact data safety
Corroborated privacy-safe contact intelligence
AeroLeads exposes contact counts, channel mix, freshness, and domain-alignment evidence while hiding raw email addresses and masking phone numbers in public output.
Official-domain contact freshness
Dated official-domain contact metadata
3 dated official-domain email records; 0 fall within 12 months of the Jun 2026 source update.
Company signal breadth
Multi-signal company record
Company-level signals include social audience, company maturity, ownership, and funding.
Company ownership signal
Company type signal
Company source record includes source type Partnership.
Audience density
Low audience density
57 followers against 17 employee estimate, about 3.40 followers per estimated employee.
Specialty signals
10
Specialty tags in the company record.
Market specificity
Focused market profile
12 market classification signals across categories, specialties, and related peer industries.
Peer industry clusters
1
Industries represented by related company records.
Related companies
3
Company graph links available for comparison.
Industry benchmark
Peer-informed industry benchmark
Industry benchmark uses 3 related companies, 3 benchmark dimensions, and 3 peer evidence types from the AeroLeads related-company graph.
Peer benchmark confidence
Multi-signal peer benchmark evidence
Peer benchmark combines 3 related companies with peer graph strength, size benchmark, and size position. Underlying peer graph includes 3 evidence types: employee benchmarks, website records, social profiles.
Peer position benchmark
Employee-scale peer position benchmark
Peer-position benchmark shows employee scale above 0% of 3 comparable related peers.
Peer comparison matrix
Limited peer comparison
Compares this company with related-company evidence across employee scale and peer graph evidence.
Workforce locations
3
Locations represented in visible profile signals.
Workforce distribution
Concentrated workforce
Most visible profile location signals are in Chaoyang District, Beijing, China.
Workforce location footprint
Multi-country workforce footprint
Visible profile locations span 3 cities across 2 countries, led by Chaoyang District.
Workforce distribution model
Multi-country workforce model
Visible profile locations span 2 countries, led by Chaoyang District, Beijing, China at 80% of visible location signals.
Workforce geography evidence confidence
Multi-location workforce geography evidence
Workforce geography spans 3 locations across 10 visible profile signals. Top workforce hub differs from company location.
Workforce seniority tiers
4
Seniority bands derived from visible profile titles and levels.
Seniority evidence confidence
Multi-tier seniority evidence
Seniority graph spans 10 classified profile signals across 4 tiers. Contributor-heavy visible sample.
Classified seniority profiles
10
Visible profiles with usable seniority signals.
Management-to-IC proxy
Contributor-heavy visible sample
3 managerial seniority signals and 7 contributor signals appear in the visible seniority-classified sample.
Role title diversity
Diverse role title sample
10 distinct role titles across 10 visible titled profiles.
Visible role titles
10
Distinct role titles found in visible profile signals.
Business function mix
Multi-function workforce sample
AeroLeads maps 8 visible profile signals into 3 business functions; 0 include visible contact data.
Mapped business functions
3
Business functions inferred from visible profile titles and departments.
Functional team estimates
Engineering team estimate
AeroLeads derives 3 visible engineering team profile signals from mapped business-function signals.
Functional coverage gaps
Partial function coverage map
Visible people signals cover 2 of 8 core business functions. Not observed in the visible graph: Sales / revenue, Marketing / growth, People / HR, and Finance. Treat this as a coverage gap, not confirmed absence.
Decision-maker signals
4
Visible profiles matching seniority or leadership title patterns.
Decision-maker reachability
No visible decision-maker contact coverage
Mapped decision-maker signals do not include visible contact data.
Buying committee evidence confidence
Mapped buying committee
Mapped decision-maker signals span 2 business functions.
Buyer persona availability
Dual-persona buyer availability
Mapped decision-maker evidence covers Executive buyer and Product buyer; 0 of 2 buyer personas include visible contact data.
Prospecting fit
Research-first prospecting fit
ASCH Platform shows research-first prospecting fit based on decision-maker coverage, technology workforce evidence, people graph depth, and peer context.
ICP fit
Qualified ICP fit
ASCH Platform matches the qualified ICP fit band for common outbound filters based on company size, market specificity, buying committee, technology path, and people graph depth.
Account research checklist
Multi-step account research checklist
Account research checklist combines buying-committee coverage, ICP fit, technology workforce evidence, related-company graph, domain trust, and people graph depth; raw contact values are hidden.
Intelligence signal groups
19
AeroLeads signal groups available for this company.

Market focus signals

Primary industry
IT Services and IT Consulting
Market specificity
Focused market profile
12 market classification signals across categories, specialties, and related peer industries.
Market evidence tier
High-confidence market evidence
Market evidence combines 12 classification signals from categories, specialties, related peer industries, and description keywords. 6 description-backed keyword signals are included.
Industry benchmark
Peer-informed industry benchmark
Industry benchmark uses 3 related companies, 3 benchmark dimensions, and 3 peer evidence types from the AeroLeads related-company graph.
Top peer industry
Financial Services
100% of 3 related peer industry signals.
Peer benchmark evidence
Multi-signal peer benchmark evidence
Peer benchmark combines 3 related companies with peer graph strength, size benchmark, and size position. Underlying peer graph includes 3 evidence types: employee benchmarks, website records, social profiles.
Size position
Smaller than most related peers
3 of 3 related employee-estimated peers are higher.
Peer graph strength
Partial peer evidence graph
Related peer graph has employee benchmarks, website records, and social profiles across 3 related companies.
Benchmark dimensions: peer graph strength, size benchmark, and size position.
Categories
IT Services and IT Consulting
Specialties
Blockchain Decentralized Applications JavaScript Sidechains Cryptocurrency Smart Contracts DAPP Digital Asset
Product-market keyword evidence
Description-backed market keywords
Keyword evidence comes from 3 source field groups: Category, Specialty, Description.
Product-market keyword evidence tier: High-confidence product-market keyword evidence. Product-market keyword evidence combines 17 unique market keywords, 3 source field groups, and 6 description-backed keywords (1 category, 10 specialty, and 6 description).
IT Services and IT Consulting · Category Blockchain · Specialty Decentralized Applications · Specialty JavaScript · Specialty Sidechains · Specialty Cryptocurrency · Specialty Smart Contracts · Specialty DAPP · Specialty Digital Asset · Specialty Smart Economy · Specialty Cross-Chain · Specialty decentralized application · Description
Related peer industries
Peer-industry evidence tier: Limited peer-industry evidence. Peer-industry evidence combines 3 related companies, 1 peer-industry cluster, and top peer industry Financial Services at 100.0%.
Functional coverage gaps
Partial function coverage map
Visible people signals cover 2 of 8 core business functions. Not observed in the visible graph: Sales / revenue, Marketing / growth, People / HR, and Finance. Treat this as a coverage gap, not confirmed absence.
Transparent function coverage evidence: Function coverage evidence combines observed functions Technology / data and Product / design and 6 unobserved core functions in the visible graph.
Financial Services 3 peers
100.0% of related peer industries

Company signals

Company signal breadth
Multi-signal company record
Company-level signals include social audience, company maturity, ownership, and funding.
Multi-signal company record evidence: Company record evidence combines 4 source-backed company signal types: social audience, company maturity, ownership, and funding.
Social audience
57
Followers in the company source record.
Social audience evidence tier: Limited social-audience evidence. Social audience evidence uses 57 followers from source field social_followers.
Audience density
Low audience density
57 followers against 17 employee estimate, about 3.40 followers per estimated employee.
Audience-density evidence tier: Limited audience-density evidence. Audience-density evidence combines 57 social followers, 17 employee estimate, and 3.40 followers per estimated employee.
Company maturity
Scaling company history
Company source record includes founding year 2016, about 10 years before 2026.
Company maturity evidence tier: Founding-year maturity evidence. Maturity evidence combines founding year 2016, 10 years of company history, and source field founded.
Company ownership
Company type signal
Company source record includes source type Partnership.
Company ownership evidence tier: Structured ownership evidence. Ownership evidence combines source type Partnership from structured company source fields.
Funding
Funding data
Funding evidence tier: Limited funding evidence. Funding evidence combines 1 named investor from structured company source fields.
Named investor signal: Funding data names 1 investor in the company source record.
before the deployment of the system. Once the Asch system is published

Workforce composition

Department concentration
Multi-department workforce
Mapped workforce signals span 3 departments, led by General. 58.3% of mapped department signals are in the largest department.
Department concentration evidence tier: Multi-department concentration evidence. Department concentration evidence combines 3 mapped departments, top department General, and 58.3% top-department share.
Department leadership coverage
Broad department leadership coverage
Leadership signals appear across 2 of 3 mapped departments. Leadership signals represent 33.3% of mapped department signals.
Department leadership evidence tier: Corroborated department leadership evidence. Department leadership evidence combines 4 leadership signals, 2 of 3 mapped departments, and 33.3% leadership density.
Department seniority map
Multi-department seniority map
Visible department samples map 10 seniority-classified profiles across 3 departments and 4 seniority bands.
Department seniority evidence tier: High-confidence department seniority evidence. Department seniority evidence combines 10 seniority-classified profiles, 3 departments, 4 seniority bands, and top cell General + Individual contributor with 4 profiles.
General 6 profiles
Manager: 1 Senior / Lead: 1 Individual contributor: 4
Executive 2 profiles
Executive: 2
IT 2 profiles
Individual contributor: 2
4 leadership signals
Department leader sample
Department leader sample
0 contactable

AeroLeads source data includes 3 leadership signals across 2 departments; rows show titles and contact-channel presence only.

Department leader evidence tier: Corroborated department leader evidence. Department leader evidence combines 3 leadership signals and 2 departments; raw contacts are hidden.
Leader Department Seniority Channel
Zhiqiang Chen
Senior Product Manager
 General Manager No visible contact channel
Qingfeng Shan
Asch Platform - Founder
 Executive Executive No visible contact channel
William Yin
Asch Platform - Chief Operating Officer
 Executive Executive No visible contact channel
General 7 signals
58.3% of mapped department signals, 2 leadership signals
IT 3 signals
25.0% of mapped department signals
Executive 2 signals
16.7% of mapped department signals, 2 leadership signals

Technology talent signals

10 matched technology role signals.

Technology evidence tier
Mapped technology evidence
10 matched technology role signals found in the workforce graph.
Mapped technology leadership depth 40.0%
4 matched technology role signals indicate leadership seniority.
Technology leadership depth evidence tier: Mapped technology leadership depth evidence. Technology leadership depth evidence combines 4 technology leadership signals, 10 matched technology signals, and 40.0% leadership depth.
3 IT department signals
Technology role mix
Broad technology role mix
Matched technology signals span 3 role groups: Cloud / infrastructure, Engineering, and Product / design.
Technology role evidence tier: Broad technology role evidence. Technology role evidence combines 10 matched technology role signals, 3 technology role groups, and Cloud / infrastructure, Engineering, and Product / design.
Cloud / infrastructure 6 profiles
60.0% of matched technology role signals
Engineering 3 profiles
30.0% of matched technology role signals
Product / design 1 profile
10.0% of matched technology role signals
Matched role examples
Senior Product Manager 1
Asch Platform - Android Engineering 1
Asch Platform - Chief Operating Officer 1
Asch Platform - Founder 1

Workforce seniority mix

Aggregated from 10 classified profile signals.

Largest seniority band
Individual contributor
6 of 10 classified profile signals.
Multi-tier seniority evidence: Seniority graph spans 10 classified profile signals across 4 tiers. Contributor-heavy visible sample.
Management-to-IC proxy
Contributor-heavy visible sample
30.0%
managerial seniority signals
70.0%
contributor seniority signals
3 managerial seniority signals and 7 contributor signals appear in the visible seniority-classified sample.
Management-shape evidence tier: Contributor-heavy management-shape evidence. Management-shape evidence combines 10 seniority-classified signals, 3 managerial signals, 30.0% managerial share, and 7 contributor signals.
Individual contributor 6 profiles
60.0% of classified seniority signals
Executive 2 profiles
20.0% of classified seniority signals
Manager 1 profile
10.0% of classified seniority signals
Senior / Lead 1 profile
10.0% of classified seniority signals

Workforce geography

Aggregated from 10 visible profile location signals.

Workforce geography evidence
Multi-location workforce geography evidence
Workforce geography spans 3 locations across 10 visible profile signals. Top workforce hub differs from company location.
Distribution signal
Concentrated workforce
Most visible profile location signals are in Chaoyang District, Beijing, China.
Workforce distribution model
Multi-country workforce model
Visible profile locations span 2 countries, led by Chaoyang District, Beijing, China at 80% of visible location signals.
Corroborated workforce model evidence: Workforce model evidence combines 10 located profile signals, 3 workforce locations, 3 cities, 2 countries, top hub Chaoyang District, Beijing, China at 80%, and company-location alignment.
Locations
3
Countries
2
Top hub share
80%
Workforce location footprint
Multi-country workforce footprint
Visible profile locations span 3 cities across 2 countries, led by Chaoyang District.
Cities
3
Countries
2
Company-location alignment
Top workforce hub differs from company location
The largest visible workforce location is Chaoyang District, Beijing, China, while the company location is Beijing Beijing, Cn.
Top workforce hub share: 80.0%
Company-location evidence tier: Workforce-location divergence evidence. Company-location alignment evidence combines company location Beijing Beijing, Cn, top workforce hub Chaoyang District, Beijing, China, 80.0% top workforce hub share, and location difference.
Chaoyang District, Beijing, China 8 profiles
80.0% of visible location signals
Cologne Bonn Region, Germany 1 profile
10.0% of visible location signals
Dongcheng District, Beijing, China 1 profile
10.0% of visible location signals

Decision-maker coverage

4 seniority signals.

Decision-maker evidence tier
Mapped decision-maker evidence
Decision-maker evidence covers 4 seniority signals. Buying committee spans 2 functions.
No visible decision-maker contact coverage
Mapped decision-maker signals do not include visible contact data.
Buying committee function coverage
Multi-function buying-committee coverage
0 of 2 mapped functions include visible decision-maker contact data.
Mapped buying committee: Mapped decision-maker signals span 2 business functions.
Buying committee evidence tier: Mapped buying-committee evidence. Buying-committee evidence combines 2 mapped buying-committee functions and Executive / corporate and Product / design function coverage.
Buyer persona availability: Dual-persona buyer availability. Mapped decision-maker evidence covers Executive buyer and Product buyer; 0 of 2 buyer personas include visible contact data. Mapped buyer persona evidence: Buyer persona evidence combines 2 mapped buyer personas and Executive buyer and Product buyer coverage.
Executive / corporate Product / design
Executive 2 profiles
50.0% of mapped seniority signals
Manager 1 profile
25.0% of mapped seniority signals
Senior / Lead 1 profile
25.0% of mapped seniority signals

Role and function mix

10 visible titled profiles across 10 distinct role titles.

Title mix
Diverse role title sample
10 distinct role titles across 10 visible titled profiles.
Role-title evidence tier: Diverse role-title evidence. Role-title diversity evidence combines 10 visible titled profiles, 10 distinct role titles, and top title Asch Platform - Android Engineering at 10.0%.
Business function mix
Multi-function workforce sample
AeroLeads maps 8 visible profile signals into 3 business functions; 0 include visible contact data.
Business-function evidence tier: Mapped business-function evidence. Business-function evidence combines 8 mapped function profile signals, 3 business functions, and top function Product / design at 37.5%.
Functional team estimates
Engineering team estimate
AeroLeads derives 3 visible engineering team profile signals from mapped business-function signals.
Mapped functional team evidence: Functional team estimate evidence combines 3 visible engineering team profile signals.
Engineering team estimate 3 profiles
37.5% of mapped function signals; Technology / data
Product / design 3 profiles
37.5% of mapped function signals
Technology / data 3 profiles
37.5% of mapped function signals
Executive / corporate 2 profiles
25.0% of mapped function signals
Asch Platform - Android Engineering 1 profile
10.0% of visible titled profiles
Asch Platform - Chief Operating Officer 1 profile
10.0% of visible titled profiles
Asch Platform - Founder 1 profile
10.0% of visible titled profiles
Asch Platform - Frontend Developer 1 profile
10.0% of visible titled profiles
Asch Platform - Office Administrator 1 profile
10.0% of visible titled profiles
Asch Platform - Senior Blockchain Product Experience 1 profile
10.0% of visible titled profiles

Contactability signals

Contact data safety
Corroborated privacy-safe contact intelligence
AeroLeads exposes contact counts, channel mix, freshness, and domain-alignment evidence while hiding raw email addresses and masking phone numbers in public output.
Aggregate signals
3
Channel coverage
Email aggregate coverage
Evidence groups
3
Corroborated contact-safety evidence: Contact-safety evidence combines company email sample, dated contact metadata, and official-domain email evidence; public schema uses aggregate variables only.
Aggregate-only contact schema: Dataset variables use counts, rates, channel labels, freshness bands, and domain-alignment metrics instead of raw contact values.
Contact freshness
Dated contact metadata
AeroLeads source data includes 3 dated contact records; 0 fall within 90 days and 0 fall within 12 months of the Jun 2026 source update. Raw emails and phone numbers are hidden.
Contact freshness evidence tier: Dated contact freshness evidence. Contact freshness evidence combines 3 dated contact records, email timestamps, and 3 official-domain dated email records.
3 dated records 0 within 90 days 0.0% fresh rate 0 within 12 months Latest Sep 2021
Dated email metadata: Dated contact records include 3 email records.
Dated official-domain contact metadata: 3 dated official-domain email records; 0 fall within 12 months of the Jun 2026 source update.
Visible people
4
Company email sample
Limited company email sample
AeroLeads source data includes 3 email records across 1 domain; raw addresses are hidden. 3 match asch.io.
Source email evidence tier: Corroborated source email evidence. Source email evidence combines 3 unique source email records, 1 domain, 3 matching asch.io, and 100.0% official-domain rate.

Explore related pages

ASCH Platform management graph

Related company intelligence:

Asch is a decentralized application platform, providing a series of SDK and API to help developers creating decentralized applications based on JavaScript and sidechain technology. By providing a whole set of industry standard solutions including customized sidechain, smart contracts, application hosting, etc., Asch intends to offer an easy-to-use, fully functional and plug & play ecosystem, by which developers can rapidly iterate their JavaScript applications, and easily deploy them into application store built in the system. These applications can be smoothly downloaded and executed by every node and user located in everywhere of this ecosystem. The entire process will be secured by the Asch sidechain consensus network. On the other hand, Asch itself is also a fully opened, decentralized application, which has its own cryptocurrency known as XAS. XAS is capable of interfacing with sidechain or any decentralized application (DAPP) through “two-way peg” mechanism so that it can be the bridge or media for the asset transition among all DAPPs, and to achieve that purpose, the XAS will be sold to the investors before the deployment of the system. Once the Asch system is published, it will not under the control of the core development team, but the stakeholders of the system and the owners of XAS. White Paper: http://docs.asch.mobi/en/whitepaper GitHub: https://github.com/aschplatform International Forum: bbs.asch.io Twitter: https://twitter.com/Asch_io Reddit: https://www.reddit.com/r/Asch_Platform/

Company source details

Employees
17
Founded
2016
Address
Beijing Beijing, Cn
Industry
It Services And It Consulting
NAICS
Computer Systems Design and Related Services
Other Computer Related Services
Website
asch.io
Keywords
Blockchain, Decentralized Applications, JavaScript, Sidechains, Cryptocurrency, Smart Contracts, DAPP, Digital Asset, Smart Economy, Cross-Chain.
HQ
Beijing, Beijing
Related companies
Apex Group Ltd, TradingView, Trade Nation.

ASCH Platform Questions

ASCH Platform people graph sample