Documents in. Decisions out.
Synthis is a custom AI system that turns your document analysis workflows into high-speed pipelines that produce consistent outputs meeting your gold standards.
Book a CallMany document-heavy teams struggle to turn incoming files into a decision fast enough, at a consistent standard, without pulling senior people off higher-value work. This costs money and slows the business down.
A chatbot can read a document, but it wasn’t built to be trusted with one. Dump a full case record into a model without engineering the context first, and reliability collapses exactly when the stakes are highest. It doesn’t remember your last thousand cases, enforce your policy, or hand your team a deliverable in your own template. A system can do that. A single prompt can’t.
Things are different with Olytic’s Synthis framework:
- Recommendations delivered in days.
- Every case checked against your own policy and history.
- The same format, the same standard, every time.
Even the best-performing model still hallucinates 5.5% of the time1 when summarizing a single raw document.
Push past 2,000 tokens of context, roughly four pages, and some models hit a 99% hallucination rate2, no matter how large the advertised window.
Our proven path from documents to decisions
Secure the intake
We build a HIPAA-compliant intake so records enter the pipeline safely, no matter the source.
Structure the data
Documents are engineered into an AI-ready data model, traceable back to the source page.
Orchestrate the process
AI runs every case through your analysis process end to end, drafting a recommendation checked against policy and history.
Deliver the outcomes
Every case ships to your gold standard, reviewed and signed off by your team.
Synthis customers put this recipe to work,
and see real business outcomes:
Faster Turnaround
Recommendations move from weeks to days, without cutting corners.
Lower Cost to Serve
Senior reviewers spend their time on judgment instead of extraction, so the same team covers more volume.
Consistent Quality
Every recommendation checked against the same history, policy, and template, no matter who’s on it.
Hundreds of cases,
one final determination
A medical claims processing firm was buried in incoming case records. Every one had to be checked against company policy and years of history before a determination could go out. Consistency was slipping as volume grew, and reviewers spent their days on data entry instead of judgment.
Working alongside their team, Olytic:
- built a secure, HIPAA-compliant intake for incoming case records.
- engineered those records into a structured, AI-ready data model.
- orchestrated policy-screened analysis, routed to their reviewers for sign-off in the firm’s own template.
The result: cases move from intake to a final determination in days, down from weeks, and the same team covers more volume without adding headcount.
“The intake used to be the bottleneck. Now the data is ready before our reviewers open the file, and every case follows the same policy checks no matter who’s working it.” Operations Lead, medical claims processing firm
See what this could look like for your business.
We’ll walk through Synthis live, then talk about building the same thing around your documents and rules.
1 Vectara Hallucination Leaderboard, 2026 · 2 Paulsen, 2026, “Context Is What You Need”