Design-time intelligence
LLMs help author skills, org profiles, and agents. That tacit business language becomes structured vocabulary your auditors can read.
Local-first · Deterministic · Auditable
Vera distills business language into skills at design time, then answers through a fixed, auditable pipeline at runtime. Same prompt, same plan, same result — every time. No LLM roulette on your regulated data.
Why Vera
Vera is the student — the distilled artifact of rules, schema, and small engines — not a platform for serving unpredictable models on every click.
LLMs help author skills, org profiles, and agents. That tacit business language becomes structured vocabulary your auditors can read.
No token roulette — the same question yields the same governed plan. Results you can regression-test and show to auditors.
After distillation, every query is local computation. Scale daily workflows without scaling GPU bills.
Built for industries where data residency is non-negotiable. Your data stays in your org profile — not a vendor cloud.
Multi-turn sessions, scoped filters, portfolio search, and clarification chips — Version 4 keeps context without retyping.
Add vocabulary in skills, map columns in org profiles. Core code stays algorithmic — never a graveyard of one-off phrases.
Architecture
Most prompts become governed query plans. Heavy cross-product work routes to agents. Both paths share the same summarizer and chat shell.
Industry pack
Vera ships with a full banking domain skill: loans, checking, savings, CDs, locations, products, employees, customer scope, and portfolio search — all driven from your org data.
Community
Vera’s community of followers and early adopters — builders, operators, and fans who want intelligence on their network, not performative answers in a distant cloud.
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