Yale Sterling Library

How we build

From AI opportunity to production capability. Senior engineers from strategy through integration and training — one coordinated team, end to end.

Consultants who write the code.

Most AI consulting stops at the slide deck. We start there and keep going — through integration, into production, and out to the team that runs it.

Strategy and Build in One Team

The people advising you are the people writing the code. No handoff from consulting to delivery, no telephone game between strategy decks and engineering tickets.

Past the Demo, Into Production

Vibe-coded prototypes die at the first sign of real load. We build for the things that break AI at scale — evaluation, cost, latency, access control, hallucination, and the long tail of failure modes.

Deep Experts, Top to Bottom

PhD-level engineering across agent frameworks, retrieval, evaluation, infrastructure, and security. We build the systems we recommend — so we understand the trade-offs before they bite you.

Built Through Technology Change

Two decades guiding companies through technology transitions — from mobile and cloud to today's shift to agentic AI. We know what survives the jump from prototype to coordinated capability.

From AI opportunity to production capability

Four phases. One coordinated team. From the first workshop to the team that runs it.

01
1-2 weeks

AI Opportunity Mapping

We work with your leadership and operators to identify where agentic AI fits — which business processes, which products, which workflows. We map ROI, technical feasibility, and sequencing. Output: a build path with real value, not a vendor sales deck.

Key Deliverables:

AI opportunity map
Feasibility assessment
Sequenced build path
02
2-4 weeks

Prototype & Validate

We build a working prototype for the highest-leverage opportunity. Production-quality patterns from day one — not a vibe-coded demo. You see real functionality, we surface integration and security risks early, and we validate the assumptions that drive ROI before committing to the full build.

Key Deliverables:

Working agentic prototype
Integration plan
Evaluation harness
03
8-12 weeks

Integrate & Implement

We integrate the system into your stack, data, and processes — built for scale, security, and observability from day one. Our engineers embed with your team, pair on critical features, set up CI/CD and AI evaluation, and establish the patterns that keep the system healthy in production.

Key Deliverables:

Production system
Eval & monitoring
DevOps pipeline
Security review
04
Ongoing

Train, Scale & Hand Over

We stay engaged through launch and train your team to own what we built — operators, engineers, and leadership. Performance monitoring, cost control, model and prompt iteration, and the operating model that turns AI from a one-off project into a coordinated capability.

Key Deliverables:

Team training
Runbooks & ops model
Performance & cost optimization
Ongoing support

AI at every layer of the business.

Process, product, and operations — we look at where agentic systems unlock real leverage across all three, not just one.

Business Process

Agentic systems built into the way your business actually runs — automating repetitive judgment work, augmenting analyst and operator workflows, and instrumenting decisions that used to live in someone's head.

Process automationDecision supportDocument & data extractionOperator copilots

Product Features

AI-native capabilities that solve real business problems for your customers. NLP, retrieval, computer vision, predictive intelligence — built into the core product, not bolted on.

Retrieval & RAGNatural language understandingComputer visionPredictive analytics

Development & Operations

AI inside the engine room. We use AI to accelerate the build itself, and we build the eval, observability, and cost-control infrastructure that keeps production AI healthy.

AI-accelerated codingEvaluation harnessesObservability for agentsCost & latency optimization

See it in action.

Agentic AI built using this approach — deployed, running, in use at top-tier clients.

Riviera Partners

A production ML system for one of the world’s top executive search firms. Several years in production.

View case study

Goldsmith

A purpose-built ATS + CRM with vector candidate research and bespoke pipeline tooling for executive search.

View case study

TalentJet

AI-powered interview intelligence. Video analysis, NLP scoring, structured assessments — built to replace gut feel with data.

View case study

Talk to an AI engineer about your build.

Tell us where you want AI working in your business. We’ll get you on a call with the people who’d actually build it.