AI that delivers value.
And survives production.

We partner with executive teams to solve high-value problems with the right mix of models, data, and engineering.
Governed, cost-effective, and built to last.

Principal-led since 2015.

What We Do

We meet you where you are—whether exploring possibilities, building predictive capabilities, or automating workflows. Explore Our Services →

AI Strategy & Enablement

Foundation

Clarify where AI creates value—and build internal capability to keep finding opportunities.

  • Identify and prioritize the problems that, if solved, move key metrics
  • Assess feasibility, data readiness, and ROI to invest with conviction
  • Build lasting AI literacy through workshops and hands-on enablement
Explore Strategy
Services Cycle Diagram

Predictive Analytics

Classical ML

Forecasting, causal inference, and decision support that explain what drives outcomes and what to do next.

  • Demand forecasting, churn prediction, propensity and uplift modeling
  • Causal inference to understand which levers actually change behavior
  • Turn predictions into decisions: targeting, pricing, budget allocation
Explore Analytics

Workflow Automation

AI / LLM / Agents

Design workflows that combine deterministic logic with AI only where it adds measurable value.

  • Document AI and contract intelligence—traceable, auditable end-to-end
  • Agent orchestration for triage, summarization, routing, exceptions
  • Humans in the loop by default—review steps, approvals, clear handoffs
Explore Automation

Proven Results for Enterprise & Regulated Clients

Selected engagements from a decade of practice. Client details anonymized.

Contract Intelligence at Scale

Client
Global reinsurer in a highly regulated sector.
Built
Automated extraction of decision-critical facts from long-form contracts with optional human review.
Impact
Reduced analysis time from ~1 hour to seconds. Deployed to production after passing enterprise governance audit. Work motivated client to pursue patent protection.

Marketing Uplift & Retention

Client
Healthcare technology provider; multi-year engagement.
Built
Uplift modeling with long-horizon holdouts to measure true incremental impact.
Impact
Models informing tens of millions of targeting decisions with measurable lift in acquisition and retention. Campaigns continue to run fully automated.

Executive AI Enablement

Client
Fortune 100 companies. Multiple programs delivered to senior leadership teams.
Built
Multi-year initiative to identify, size, and prioritize AI opportunities across the enterprise.
Impact
Established shared decision framework aligning feasibility, ROI, and risk considerations.

Investment Research & Trading Platforms

Client
Multiple clients including asset manager, family office, and crypto fund.
Built
Research pipelines, backtesting workflows, and data environments; live trading systems.
Impact
Repeatable signal evaluation and strategy development. Ongoing advisory across fund formation, infrastructure, and operations.

Agent Pipelines & Operational Reliability

Client
High-throughput transactional systems requiring continuous monitoring.
Built
Diagnostic pipelines for complex transaction systems—timeline reconstruction, error analysis, and monitoring workflows.
Impact
Production-ready systems enabling faster triage and root cause analysis.

Forecasting at Scale

Client
Healthcare and financial services clients; demand and pricing use cases.
Built
Forecasting pipelines for thousands of time series with automated retraining.
Impact
Production-ready pipelines enabling improved planning under dynamic conditions. Pattern replicated across demand forecasting and returns prediction.
Discuss Your Challenge

Bespoke Delivery

We listen first—understanding your business, constraints, and what success looks like. Then we deliver working systems early and improve with real feedback. This approach helped produce the outcomes above.

1

Discover — Find the highest-value constraint

  • Map workflows and bottlenecks; identify automation candidates
  • ROI via unit economics and TCO; cash-flow and sensitivity analysis
  • Feasibility, data readiness, and risk/compliance footprint
2

Design — Architect for trust and scale

  • LLM/RAG/agent architecture; explicit deterministic vs. stochastic choices
  • Data strategy, governance/retention; security aligned to your controls
  • Cost/latency envelopes and SLOs; approvals and traceability
3

Deliver — Build and integrate production systems

  • LLM/agent apps and retrieval/contract-intelligence pipelines
  • Integrate with auth, APIs, and core systems; establish cost/latency/quality baselines
  • Ship the smallest viable release as early as safely possible
4

Operate — Monitor, guardrail, and respond

  • Monitoring for cost, drift, safety, and SLOs
  • Automated evaluation and guardrails; incident response playbooks
  • Change control for prompts, tools, and models; retraining cadence
5

Improve — Optimize for measurable value

  • A/B and holdout testing; error analysis and user feedback loops
  • Prompt/tool evolution; executive ROI and risk reporting
  • Adoption and change-management support
Start with a Production Readiness Review

What We Stand For

We meet your security requirements without making it more expensive than necessary. These three commitments define how we actually build.

Right Tool for the Job

We lead with problems, not technology. Solutions follow.

  • Understand the business problem before proposing solutions
  • Sometimes the answer isn't AI—and we'll tell you
  • Simplest solution that works, not the most impressive

Transparency & Explainability

Every decision traceable. Every outcome explainable.

  • Deterministic logic where possible; clear bounds on AI uncertainty
  • Decision traces so stakeholders can audit outcomes
  • Measure business impact, not just model metrics

Domain Expert Primacy

Your people shape the system from design through operation.

  • SMEs define requirements, validate outputs, set success criteria
  • Systems surface insights to experts, not replace their reasoning
  • Human-in-the-loop by default—review, approvals, escalation

Briefings

What we've learned building AI systems that survive production.

Also Worth Reading

Explainability in Production AI Systems The Agent Complexity Spectrum: A Decision Framework for Enterprise AI The LLM Evaluation Gap: How to Actually Measure What Matters The LLM Application Lifecycle: From Prompt to Production
Explore All Briefings

Build your team, not just your tech.

We meet you where you are—briefings for executives, workshops for leaders, and pairing for engineers.

Executive AI Briefings (2–3h)

Risk, ROI, operating model, vendor landscape

Leadership Workshops (½–2 days)

Use-case portfolio, prioritization, measurement plans

Technical Deep Dives & Pairing

RAG/agents, evaluation/guardrails, secure architectures

Capability Build-Out

CoE setup, hiring/interview rubrics, operational playbooks

Start a Conversation