Production AI, engineered end to end, six eval-gated service lines.
The same playbook, tuned to the constraints of the sectors we ship into most.
Proof, not promises, selected case studies and recognition.
A transparent, 3-phase playbook from first audit to embedded team.
The senior team behind the work, and how to reach us.
In financial services, a wrong answer is a compliance event, not just poor UX. We build fraud detection, risk scoring, and document intelligence that hold up to regulators and auditors, explainable, real-time, and built for SOC 2, PCI, and model-risk scrutiny from day one.
From real-time fraud scoring to document intelligence every engagement is designed around the regulatory and data constraints of financial services.
Real-time transaction scoring models with explainability for regulatory review. Sub-100ms inference with full audit trails.
RAG pipelines over contracts, prospectuses, and filings. Extract clauses, compare terms, answer questions over your document corpus.
LLM assistants trained on your compliance policies. Accurate, auditable answers for your compliance team with citations.
ML models for credit scoring, underwriting, and default prediction. Interpretable outputs required by regulators, not black boxes.
Personalised financial guidance interfaces with guardrails. Scope-limited conversations that stay within regulated advice boundaries.
AI pipelines that generate regulatory reports, investor summaries, and portfolio commentary from structured data.
Financial AI requires factual grounding. Every output needs citations and a correction path and we build that infrastructure before shipping.
Regulators want to know why a model made a decision. Black-box AI is not acceptable for credit, fraud, or advice.
PII, transaction history, and KYC data require secure pipelines and strict access controls from the start not as an afterthought.
Fraud patterns and market conditions change. Without monitoring, your model degrades silently while your team assumes it's working.
We build with compliance requirements as first-class constraints explainability, audit trails, scope-limiting guardrails, and human-in-the-loop checkpoints. We work with your legal team, not around them.
All data pipelines are designed with least-privilege access, encryption at rest and in transit, and no training on client data without explicit agreement. We can deploy entirely within your cloud environment.
Most start with a 2-week scoping sprint to identify the highest-value AI use case, followed by a 6–10 week build. Fraud detection and document intelligence are the most common first builds.
Yes. We've integrated with core banking systems, data warehouses (Snowflake, BigQuery), and financial data APIs. We don't require you to migrate data to work with us.
30 minutes, one of our seniors, no slide deck. By the end of the call you'll know whether we're the right team, and if not, who is.