Let top models be verified for you!
Factlace is being built to score every AI output on accuracy, policy, and safety — so your team can lean on answers that are defensible, auditable, and worth trusting.
* Verification scores are advisory and should support, not replace, human review.
- Built for Accuracy
- Audit-Ready by Design
- Fast Verdicts
- Reasoning, Not Guesswork
Illustrative product preview
Model-agnostic — built to work with any AI system, no rewrites, no vendor lock-in
Model names are the property of their respective owners; listed as planned compatibility targets, no partnership implied.
One engine between your AI and every decision
Factlace is designed to intercept every response your models generate, cross-examine it against your sources and policies, and return a defensible Factlace Score — all before your user ever sees it.
- Factual accuracy
- Policy compliance
- Bias & safety
- Source traceability
Generative AI is powerful. Unverified, it is a liability.
In banking, healthcare and government, a single confident hallucination can mean a mis-sold product, a compliance breach, or a decision no one can defend. Factlace closes the gap between what AI can do and what regulated enterprises are allowed to ship.
AI without verification
- Confident, fluent answers that are quietly wrong
- No record of why a model said what it said
- Compliance teams blocking AI rollouts they cannot audit
- Every new model or vendor reopening the same trust questions
AI verified with Factlace
- Independent scoring that flags wrong answers in real time
- A complete, tamper-evident reason and evidence trail per output
- Compliance-ready reporting mapped to your policies and controls
- One model-agnostic layer that works across every provider you use
The verification layer
A defensible system of record for AI outputs
Factlace sits between your models and your users, checking every response and producing a transparent, auditable verdict.
Real-time scoring
Every output is checked against accuracy, policy, safety, and source standards, returning a verdict in milliseconds.
Automatic policy enforcement
Custom rules block or flag outputs that breach internal policy — no more manual spot checks.
Immutable audit trail
Every assessment creates a timestamped, exportable record for regulators, auditors, and customer review.
Model-agnostic layer
Works with any AI system — GPT-4o, Claude, Llama 3 and more — without rewrites or lock-in.
Bias & safety checks
Detect unsafe, biased, or non-compliant content before it ever reaches your users.
Source traceability
Trace each claim back to its supporting source so answers are verifiable, not just plausible.
Trust you can point to, not just talk about
We wanted to turn a vague, nervous question — "can we actually trust this answer?" — into something your risk, compliance and engineering teams can point to and sign off on.
| Capability | Value | Detail |
|---|---|---|
| Every answer gets one clear trust scorethe Factlace Score, with the reasoning shown right underneath it | 0–100 | the Factlace Score, with the reasoning shown right underneath it |
| Designed for verdicts in under 200msour target: fast enough to run inline, without your users noticing | <200ms | our target: fast enough to run inline, without your users noticing |
| Prompts, outputs and scores kept in the audit trailbuilt so you can always show exactly what happened, and why | Full | built so you can always show exactly what happened, and why |
| Built to work with the models you already useOpenAI, Anthropic, Google, Meta, Mistral and more — no lock-in | Any LLM | OpenAI, Anthropic, Google, Meta, Mistral and more — no lock-in |
How it works
From model output to defensible verdict
- 01
Connect via drop-in API
Route model outputs through a single API call or direct integration. No rewrites, deploys in minutes.
- 02
Verify in real time
Factlace scores every output on accuracy, policy, safety, and source traceability in under 200ms.
- 03
Enforce & prove compliance
Block or flag risky outputs automatically, and export an immutable audit trail for any reviewer.
A look at what we're building
Verify, score, and act — in one flow
The idea is simple: drop Factlace into your stack, have every model output scored as it happens, and get a heads-up the moment something needs a human.
Integrate Seamlessly
Designed to drop into your stack with minimal code.
await factlace.verify({
outputId: "out_123",
content: response
});14:32:15
14:32:18
Quality
Flags
Act When It Matters
Immediate alerts with full context.
This output was flagged for an unsupported claim. Human review is recommended before it reaches the user.
- Email + Slack
- You verify, you decide, you act
Illustrative product preview — interface, scores and code shown are for illustration only.
A single 0–100 trust score, backed by transparent sub-scores for every factor.
Illustrative example
The Factlace Score™
One number that quantifies trust
The Factlace Score distills a multi-factor assessment into a single, defensible metric — so teams, auditors, and customers instantly understand how much to trust an answer.
| Factor | Score |
|---|---|
| Factual accuracyClaims cross-checked against trusted evidence. | 99/100 |
| Policy complianceAdherence to your internal and regulatory rules. | 97/100 |
| Bias & safetyScreened for unsafe, biased, or harmful content. | 96/100 |
| Source traceabilityEvery claim linked to a verifiable source. | 98/100 |
Built for high stakes
Designed for regulated industries
Where a wrong answer carries real consequences, Factlace provides the accuracy, control, and proof teams need.
Financial services
Verify advice, disclosures, and customer communications against regulatory requirements before they ship.
Healthcare
Catch unsupported clinical claims and enforce safety policy on every AI-generated response.
Public sector
Deliver accurate, accountable AI to citizens with a complete, exportable record of every decision.
“We started Factlace because ‘trust me, the AI is probably right’ isn't good enough when a wrong answer can cost someone money, their health, or their case. Every output should come with a score you can question — and a trail you can follow.”
Everything you need to trust the layer
The questions risk, compliance and engineering leaders ask us most before rolling Factlace out across their AI estate.
- What exactly does Factlace verify?
- Factlace evaluates every AI output across four dimensions — factual accuracy against your trusted sources, compliance with your written policies, bias and safety risk, and whether every claim can be traced to a citation. These combine into a single Factlace Score from 0 to 100.
- Does Factlace work with the models we already use?
- Yes. Factlace is completely model-agnostic. It sits between your applications and any LLM — OpenAI, Anthropic, Google, Meta, Mistral, or your own fine-tuned and self-hosted models — so you never get locked into a single provider.
- Is it fast enough to run in production?
- Verification returns a full verdict in under 200 milliseconds at the median, so Factlace can run inline with live traffic instead of as a slow offline batch job. You can enforce, warn, or log based on the score without a noticeable delay for end users.
- How does Factlace help with audits and compliance?
- Every prompt, output, score, and underlying reason is captured in a tamper-evident audit trail. When a regulator or internal auditor asks why a decision was made, you can produce the exact evidence and reasoning behind each answer.
- How long does it take to integrate?
- Most teams are scoring live traffic within a day. Factlace exposes a simple API and drop-in SDKs, and connects to your existing knowledge bases and policy documents as trusted sources without re-architecting your stack.
- Where is our data processed and stored?
- Factlace supports EU and regional data residency, encryption in transit and at rest, and single-tenant deployments for regulated customers. Your prompts and outputs are never used to train third-party models.
Make your AI defensible
We're designing Factlace as a drop-in verification layer that scores every output, with private cloud and managed service options planned. If that fits where you're headed, let's talk.