On-premise AI for Financial Services.
Material non-public information, customer PII, and regulated records cannot be shipped to a hosted model API — not as a matter of caution, but of regulation and contract. We deploy the full AI stack in your VPC or on-prem, with zero data egress, so the data is processed exactly where it already sits.
When the data is MNPI, the model has to come inside
A bank, broker-dealer, or asset manager runs on information that is dangerous to move. Material non-public information, customer PII, transaction records, and supervised communications carry obligations that an outbound API call would violate outright — insider-trading controls, privacy regulation, residency rules, and contractual confidentiality all converge on the same constraint: this data does not leave. For these workloads the question of where AI runs is not a preference. It is a hard line.
So we invert the usual flow. Instead of sending regulated data out to where a hosted model lives, we deploy the model, retrieval layer, and application inside your own boundary — on-prem hardware or your private cloud tenancy. The capability is the same as any modern AI system; the perimeter is yours. Nothing about a position, a counterparty, or a customer crosses a line it is not allowed to cross.
Private AI inside the financial perimeter.
A complete stack that runs where regulation and contract require it — your VPC, your hardware, your keys.
- Your VPC / private cloud
- On-prem GPU servers
- No external model APIs
- No outbound data flow
- Information-barrier scoping
- Local model & index
- Customer-managed keys
- In-jurisdiction residency
- Append-only audit trail
Where on-premise AI unlocks value in Financial Services
Value concentrates wherever a workload is starved of AI today precisely because the data is too sensitive to send out:
- Research & MNPI analysis — analysts query deal rooms, filings, and internal models with the data never leaving the wall-crossed boundary or the firm's information barriers.
- Customer & KYC records — operations teams retrieve and summarize PII-laden onboarding and account files inside the perimeter, with no third-party processor in the path.
- Supervised communications review — compliance surveils chats, email, and call transcripts against policy on local compute, keeping regulated records in-house.
- Risk & transaction analytics — credit, market, and AML teams reason over positions and transaction histories with full audit and residency, not an outbound API call.
Common questions.
Can on-premise AI handle MNPI and PII without sending it to an external API?
Yes. We deploy the model, retrieval layer, and application inside your own boundary — on-prem hardware or your VPC — so material non-public information, customer PII, and regulated records are processed where they already sit. There are no calls to a hosted model API and no prompts, documents, or embeddings leave the perimeter. The model is brought to the data, not the data to the model.
Does an in-VPC deployment satisfy data residency and audit requirements?
It is built for them. Data stays in your jurisdiction and tenancy, encrypted with keys you hold, and every prompt, retrieval, and response is logged to an append-only trail your compliance and audit teams can review. You control where the system runs, who can access it, and what it retains — which is what residency, supervision, and recordkeeping obligations demand.
Explore related paths.
Run AI where the data has to stay.
Tell us the constraint — the regulation, the information barrier, the residency clause — and the workload it blocks. In thirty minutes we will show how a fully private, zero-egress deployment runs that workload inside your boundary. Response inside 24 hours.
Experienced within
Markets served.
As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets: