Financial services AIBuilt for production

We engineer AI for financial operations.

Q: Where does our data live, and how is PII protected?

Inside the boundary you define. We set role access, tenant isolation, and deployment constraints before choosing a model—including fully private deployment in your environment.

Q: Do we own the system, or are we locked into you?

You own it. We hand over the code, runbooks, monitoring, and eval baselines so your engineers can operate and extend the system.

Q: How do you make AI outputs auditable and explainable?

Outputs link to their sources, carry confidence signals, and route high-stakes exceptions to a human. Inputs, model versions, tool calls, and reviewer actions are logged.

Q: How long until something runs in production?

We prove one workflow on real data first. Initial production slices typically move in weeks because the scope is narrow and measurable.

Q: What makes a good first project?

A high-volume workflow with real samples, a clear compliance bar, and a turnaround time you can measure.

Automate document, risk, and analytics workflows with source-linked outputs, human approval gates, and a complete audit trail.

Discuss your workflow →Explore use cases↓

01Application pack

02Review summary

APPLICATION PACK

APPLICANTAcme Foods Ltd.

Application summaryReady to review

4 documents linked

ApplicantAcme Foods Ltd.Verified

Request$250k working capitalCaptured

DocumentsLatest statement missingNeeds input

What happens nextRequest the latest bank statement

Draft request ready

10:42:34Application → summary → follow-up task recordedTRACE / 2481

Selected outcomes

Measured in production systems we have shipped.

90%less time finding answersDocument intelligence

1,000+documents searchableEnterprise knowledge

100+live sources governedProduction data systems

10×faster analysisNatural-language BI

How we build

Controls are part of the product.

Financial AI earns trust when every output can be tested, reviewed, and explained.

Production starts with controls

Real data, permissions, and review paths shape the first build.

Every answer carries evidence

Sources, confidence, and reviewer actions stay attached to the decision.

Your team owns the system

Code, evals, monitoring, and runbooks transfer with the product.

Where this fits

Put AI where financial work slows down.

Start with a high-volume workflow and a result you can measure.

Document intelligence

Turn financial documents into verified data.

Extract fields from KYC packs, loan files, contracts, and statements—with source links and analyst review for exceptions.

What entersKYC and loan files

AI workFields + source citations

Human controlExceptions only

Business resultVerified data

View related production case study↗

The control plane

Control from input to decision.

Governance that runs with the workflow.

Production evidence

Live systems. Measurable gains.

Real users, live data, and operating change.

Enterprise01

Document Intelligence Engine

Ask questions, get answers from thousands of documents

Read the case study ↗

90%time saved1000+documents<30sto answers

Analytics02

AskQL

Ask your data questions in plain English

Read the case study ↗

10×faster insightsZeroSQL neededSecondsto answers

A practical first step

Bring one workflow that costs too much time.

We will map the automation, controls, and proof required to ship it safely.

Discuss your workflow →

How we work

Clear decisions before deeper investment.

Each phase answers a business question before the next one begins.

Frame01

Choose the right workflow

We map the work, controls, data, owners, and measurable operating goal.

Decision unlockedA build / do-not-build decision

Validate02

Prove it on real cases

We test the complete path against quality, latency, cost, and review thresholds.

Decision unlockedEvidence to approve production

Deploy03

Integrate it into operations

We build the workflow, controls, evals, interfaces, and production monitoring.

Decision unlockedA live, operated workflow

Own04

Put your team in control

We tune with live feedback and transfer code, runbooks, baselines, and ownership.

Decision unlockedIndependent operation

Technical questions

Questions that shape a production decision.

Security, ownership, explainability, and delivery.

Where does our data live, and how is PII protected?

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Inside the boundary you define. We set role access, tenant isolation, and deployment constraints before choosing a model—including fully private deployment in your environment.

Do we own the system, or are we locked into you?

How do you make AI outputs auditable and explainable?

How long until something runs in production?

What makes a good first project?

Start a conversation

Which financial workflow should move faster?

Bring real samples and the constraints that matter. We will define the smallest production slice worth building.

Talk directly with the engineers who would build it.

Leave with a clear control model and next step.

Workflow briefingTypically replies within 1–2 business days