In active development — financial verification is live in testing. Join the waitlist for early access.
The layer that keeps AI grounded.
No guessing. No opinions. Just verification.
Stratum.AI catches wrong answers mid-generation, corrects them on the fly, and scores every claim's confidence.
Watch Stratum.AI catch a hallucination mid-stream.
Four steps from claim to confidence.
Proxy the LLM
Point your SDK at Stratum.AI's endpoint. We pass the request to OpenAI, or your own model. Anthropic support is on the roadmap.
Parse the stream
As tokens arrive, we extract atomic claims — numbers, dates, names, citations.
Verify in flight
Each claim is checked against authoritative sources: SEC EDGAR for financial figures, Semantic Scholar and CrossRef for citations, FDA databases for drug data, court records for legal claims. If there's no authoritative source, we don't guess — we flag it as unverifiable.
Correct & score
Wrong facts are rewritten with sources. Every claim gets a confidence score. You ship trust.
Built for industries where wrong answers cost real money.
Trade copilots that don't fabricate filings.
Verify P/E ratios, earnings, balance-sheet items against SEC EDGAR before they reach an analyst.
Tutors that cite real papers.
Cross-check every citation against arXiv and Crossref. Strike out invented authors before students see them.
Drug data that matches the label.
Verify dosages, interactions, and contraindications against FDA labeling and drug interaction databases before AI-generated medical information reaches a clinician or patient.
Citations that survive a court check.
Cross-check case citations and statutory references against real court records before they reach a brief. Catch fabricated case law before a judge does.
We verify claims that have a provable answer.
Every claim an LLM makes falls into one of two buckets: claims with a checkable answer, and claims without one. "Apple's P/E ratio is 56.2" has a checkable answer — you can compute it. "This stock looks risky" does not. Stratum.AI lives entirely in the first bucket. We verify claims that have a provable answer, not ones that require opinion or judgment.
Clarity matters. Here's what we don't do.
Two lines of code. Zero infrastructure.
Change one base URL. Keep your existing prompts, tools, and streaming logic. Stratum.AI is OpenAI-compatible.
- Currently built for OpenAI — Anthropic SDK support is on our roadmap
- JSON-based API — streaming (SSE) support is on our roadmap
- Per-claim confidence scores included in every response
from openai import OpenAI
client = OpenAI(
base_url="https://api.stratumverify.ai/v1",
api_key="sk-strat-...",
)
stream = client.chat.completions.create(
model="gpt-4o",
messages=[{"role":"user","content":q}],
stream=True,
extra_headers={"x-stratum-verify":"financial"},
)
# every chunk includes .verification {claim, status, confidence, source}Every claim, logged and auditable.
Filter by verifier, confidence, status, or model. Export for compliance.
Pay for verified claims, not tokens.
- 10,000 claims/month
- Financial verifier
- API access
- Email support
- Interactive /docs
- 100,000 claims/month
- All verifiers (financial + academic)
- Priority support
- Analytics dashboard
- Confidence scoring
- Unlimited claims
- On-premise deployment option
- SLA guarantee
- Blockchain audit logs
- Dedicated support
- Compliance reports (SOC 2)
"LLMs hallucinate 10% of the time. In fintech, that's a lawsuit. In research, that's a retraction. Stratum.AI fixes that in real time."
Join the first 100 teams shipping with Stratum.AI.
We're onboarding a small group of design partners before public launch. Tell us about your use case and we'll be in touch within 24 hours.