Sovereign SI for regulated financial services.
Compliance-safe answers with PRISM audit trails. Runs air-gapped or on-premise. Two orders of magnitude cheaper than the OpenAI + Pinecone stack.
The problem you are actually solving
Financial services AI faces a specific compliance problem: any material output must be traceable to the source that produced it. Chain-of-Thought traces are narratives, not audit trails. Vector-DB retrieval is opaque cosine similarity, not a citation. AlifZetta's PRISM proof-tree solves both — every reasoning step traces to a NEXUS entity, which itself traces to the source document (a policy paragraph, a regulation clause, a product spec). One nine-day pilot has already cleared a compliance sign-off that had been pending for six months on the OpenAI + Pinecone stack.
The pain points we hear every week
- Compliance cannot sign off on LLM outputs that have no auditable derivation
- SOX requires proving AI-in-the-loop does not introduce unreviewable inputs
- GDPR Article 22 requires meaningful explanation — a CoT trace is not one
- OpenAI + Pinecone stack costs $8-15k/month at Series-A scale, mostly for retrieval
- Your data cannot leave your perimeter under regulator or client contract
What AlifZetta delivers
- PRISM proof-tree per answer — every step traces to a policy paragraph you already have on file
- Runs air-gapped on your hardware — no external LLM round-trip
- Ingest your existing policy/product knowledge into NEXUS in a two-week pilot
- Deterministic retrieval means the same query returns the same answer — a compliance property CoT stacks cannot offer
- Bilingual support if you serve multi-region customers
- $47/month per production node vs $8-15k/month for the OpenAI + Pinecone equivalent
- One pilot on record cleared a six-month compliance queue in nine days
Regulatory alignment
| Regulation / framework | How AlifZetta satisfies it |
|---|---|
| SOX (material weakness) | Every AI-produced number ships with a PRISM proof-tree traceable to source records |
| GDPR Article 22 | Meaningful explanation via walkable PRISM tree, not opaque CoT narrative |
| Basel III / SR 11-7 model risk | Deterministic retrieval satisfies validation and monitoring requirements |
| MiFID II best-execution | PRISM proof-tree provides the decision-path documentation supervisors expect |
| Client data-residency | Runs on your infrastructure; no vendor perimeter to negotiate |
Two-week pilot workflow
- Discovery call (30 min) — map your workflow, identify the highest-value pilot target
- Fixed-fee quote — written scope + cost + timeline, no hidden add-ons
- Ingest your knowledge into NEXUS — up to 100,000 entries, cited, versioned
- Wire the CLLM cluster on your hardware — sovereign from day one
- Side-by-side comparison — 100 real queries, both stacks, quality + latency + cost
- Working authenticated endpoint + monitored baseline — the deliverable
Book a finance pilot conversation
30 minutes. No slides. We map your workflow to the AlifZetta stack live, quote the pilot on the call.
Email padam@axz.si → See case studies →