Incode
Frictionless trust powered by AI at global scale
By Incode · HQ San Francisco, US · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Regulated banks, neobanks and fintechs that need KYC, AML and liveness in one onboarding flow
- Marketplaces, telcos and platforms fighting deepfakes, synthetic IDs and account takeover
- Age-restricted products and platforms that need defensible age assurance at global scale
- Enterprises that want biometric matching against government systems of record
- IAM, HR and service-desk teams verifying candidates, hires and high-risk access requests
Ideal size: 500+ employees people · Enterprise with a dedicated fraud, risk or compliance function
Not for
- Small teams that want self-serve signup and transparent per-verification pricing
- Buyers who require a published public price list before engaging sales
- Organisations with no appetite for processing biometric data
- Use cases that only need a simple checkbox-style age gate
Value metrics scorecard
Time-to-Value
2-4 weeks after kickoff
~30 days to first production value
Total Cost of Ownership
On request
Enterprise, quote-based pricing negotiated per use case; no public price list, buyers start with a demo request.
Implementation Friction
2/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not listed
Add-on costs
- None
Company & support
Who is behind Incode, and how your team gets help once it is live.
Company
- Founded
- 2015 · 11 yrs in business
- Headquarters
- San Francisco, US
How you get support
We haven’t recorded support channels for Incode yet. Nothing here means unverified — not absent.
Market position
Where Incode sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Incode
- Veza
- Britive
- Concentric AI
- Theta Lake
- AirMason
Add or change companies
Up to 10 companies including Incode. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Incode ships in AI, and what it asks of your ecosystem.
AI features shipped
Incode runs 35+ fully automated models built entirely in-house for document authentication, passive liveness and deepfake/injection detection. Models learn from new fraud vectors in real time, and sensitive flows such as age estimation run on-device so biometric data never leaves it.
Your data & models
- Trains on your data
- Only if you opt in
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Vendor's key
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Incode is an enterprise identity platform answering three questions: is the person real, are they who they claim, and are they trustworthy. It combines document authentication across 4.9K+ ID types, passive biometric liveness, deepfake and injection detection, KYC/AML and KYB screening, and biometric matching against government systems of record. Its 35+ in-house AI models also power age assurance and agent identity. Sold through a demo-led enterprise cycle with quote-based pricing to banks, telcos, marketplaces and agencies.
Frequently asked questions
What does Incode actually verify?
Incode answers three questions in one platform: whether a live human is present (passive biometric liveness plus deepfake and injection attack detection), whether they are who they claim to be (document authentication across 4.9K+ ID types in 190+ countries and biometric matching against government systems of record), and whether they are trustworthy (KYC with PEP and sanctions screening, KYB and UBO checks, and network-level fraud signals). It also covers age assurance and verifying AI agents and their owners.
How is Incode priced?
Incode does not publish a price list. Pricing is quote-based and negotiated per use case, typically tied to verification volume and the modules enabled (document, liveness, KYC/AML, age assurance, government matching). Buyers start with a demo request and a 30-minute working session. Ask for a pilot scope with volume bands, overage terms and any implementation or integration fees before committing.
How long does implementation take?
Incode ships as SDKs and open APIs with prebuilt integrations for identity, HR, messaging and CRM platforms. Customers describe the platform as quick to stand up in existing business processes, and a first production flow typically lands within roughly 2-4 weeks of kickoff once the verification journey and data residency are agreed. Adding KYC/AML, KYB or government-record matching can extend that timeline.
Which compliance certifications does Incode hold?
Incode's website states SOC 2 Type II certification, iBeta PAD Level 3 (first on iOS and Android) and three consecutive years as a Gartner Magic Quadrant Leader for Identity Verification. Its privacy page describes an AI-first, privacy-by-design architecture with on-device processing for sensitive flows. Request the current SOC 2 report, any ISO certifications and the data-processing agreement directly from the vendor during diligence.
How does Incode treat customer data and AI model training?
Incode says its AI models are built entirely in-house and that privacy is architectural: for highly sensitive flows such as age verification, models run on the user's device so biometric data never leaves it. Its privacy policy states that where biometric identifiers or other sensitive personal data are used to train or improve its AI/ML models, this is done consistent with applicable law and, where required, on the basis of consent. Confirm the exact training terms for your region in the contract.
Does Incode fit our existing stack?
Incode publishes prebuilt integrations across IAM, CIAM, IGA, ITDR, ITSM, messaging, video conferencing, HRIS/ATS, CRM, e-commerce and age verification, including Okta, Microsoft Entra and Active Directory, Auth0, Ping, SailPoint, ServiceNow, Jira Service Management, Slack, Zoom, Microsoft Teams, Google Meet, Workday, Greenhouse, Lever, Ashby, Salesforce and Shopify. Open APIs cover custom flows, and the vendor accepts integration requests.