Artificial Intelligence

Build AI Products That Hold Up in Production.

We help product and platform teams move past pilots, designing and shipping AI assistants, agents, and knowledge systems your customers and employees can depend on every day.

Start a conversation → See how we work
RAG Pipeline
12,847 docs indexed
Latest update · 2m ago
Eval pass rate · 98%
Agent Run
Pipeline review complete
7 tools called · 23s
Assistant
"How do I request an IEP review?"
Grounded in 4 sources · Confidence high

By 2026, most companies have spent two years experimenting with AI. The teams getting traction now are treating AI as software — versioned, evaluated, monitored, and built for the workflow it has to live inside. That's the work we do.

How we help

We Work Across the AI Stack.

Most AI work fails at one of three layers — strategy, build, or foundations. We work at all three, separately or together, depending on where you are.

Layer 01

AI Foundations

What holds it all up. Data strategy, ingestion pipelines, evaluation infrastructure, and the observability that keeps systems reliable as they scale. The layer most companies skip — and the one their AI products tend to fail on first. For the broader picture of how we modernize the data layer itself, see Data Engineering.

  • AI Data StrategyMapping the data your AI products need, what's missing, and what to build first.
  • Data Pipelines & Vector InfrastructureIngestion, embedding, and retrieval architecture built for production.
  • Evaluation FrameworksEval sets, regression tests, and observability that keep AI behavior predictable as it scales.
  • Observability & GovernanceAudit trails, prompt monitoring, and the governance layer that lets you scale agents safely.
Where this fits Teams whose AI demos work but whose production systems break under load.
Layer 02

AI Operating Model

Where strategy, governance, and capability live. We help leaders define their AI roadmap, stand up the operating model around it, and build the team capability to execute.

  • AI Advisory & StrategyPrioritization, architecture, build-vs-buy decisions, operating model design.
  • Fractional CAIOSenior AI leadership co-building alongside your team for the time it takes to get traction.
  • Organizational AI Maturity AssessmentA six-pillar review of where your organization stands across strategy, talent, data, governance, and operations — and what to build next. (For an engineering-team-specific maturity diagnostic, see AI Engineering.)
  • Team Enablement & TrainingWorkshops, internal documentation, and role-based training that scales beyond the first project.
Where this fits Companies in their first or second wave of AI adoption, leadership teams aligning on strategy, organizations restarting stalled AI initiatives.
Layer 03

AI Products

The things we build. Multi-step agents that take action across your tools, conversational assistants embedded in your product, knowledge systems grounded in your content. Designed for production from day one.

  • Agentic AI SystemsMulti-step agents with orchestration, tool use, error recovery, and the governance layer that keeps them accountable.
  • Knowledge & RAG SystemsRetrieval-augmented generation built on your documents, your data, and your structure.
  • AI Assistants & CopilotsConversational and embedded AI that lives inside your product or workflow.
Where this fits Product teams shipping AI features, ops teams automating workflows, support teams building grounded assistants.
Featured case study
Understood.org

An AI Assistant for the Parents of 1 in 5 Learners.

Understood.org is the country's most trusted resource for families navigating learning and thinking differences. The volume of questions parents bring to the site goes far beyond what any FAQ can answer.

We partnered with the Understood team to build an AI assistant that meets parents where they are: in the middle of an IEP meeting, late at night after a tough school day, or when the language of special education feels like its own foreign country. The assistant uses retrieval-augmented generation against Understood's full content library, so every answer is grounded in expert-reviewed material and adapts to how each parent describes their situation.

The result helps parents find guidance faster, and gives Understood's team data on what families are searching for, so the content team can prioritize what to write next.

Read the full case study →
Understood Assistant
Online · Grounded in Understood's library
My 8-year-old just got diagnosed with dyslexia. What should I ask for in his IEP meeting next week?
Going into an IEP meeting after a recent dyslexia diagnosis, parents often ask about three things: structured literacy instruction, accommodations like extended time and audiobook access, and specific reading goals tied to measurable progress.
Source: Understood IEP Guide
Source: Dyslexia & School Accommodations
Can you help me write a question about progress monitoring?
How we work

AI Products Are Software. We Build Them Like Software.

We treat AI projects the same way we treat any production system: small initial scope, fast iteration, eval-driven development, and a clear path from prototype to live product. Most engagements deliver a working version in 6 to 10 weeks, with production rollout in 4 to 6 months depending on integration complexity.

Every engagement comes with the eval framework, observability, and governance layer needed to keep the system reliable as it scales. AI products tend to fail when teams ship the demo and skip the production scaffolding. We don't.

Phase 01

Discovery & Scoping

1–2 weeks

We assess your data, workflows, and team readiness, and define the smallest version of the system worth building.

Phase 02

Build & Evaluate

6–10 weeks

Working software, instrumented from day one, tested against eval sets you'll keep using long after we're gone.

Phase 03

Production & Scale

Ongoing

We harden the system, train your team, and set up the monitoring and governance that keep it healthy.

Where it fits

AI Built for the Functions Inside Your Business.

We work with the teams who actually run the work — designing AI that fits the way each function operates.

Marketing & Sales

Content generation, lead research and enrichment, campaign personalization, and copilots that help reps move faster through the funnel.

Customer Service

Support assistants that answer grounded in your knowledge base, deflect repeat questions, and hand off to a human with full context when it matters.

Operations

Agentic systems that automate intake, routing, reporting, and reconciliation — taking the manual, repetitive work off your team's plate.

Product & Engineering

Embedded AI inside your product surface, internal developer tooling, and copilots that show up where your users and engineers already work.

For engineering leaders

Make Your Engineering Team AI-Native.

AI coding tools have moved fast. The question we hear most from Directors and VPs of Engineering: how do we take advantage of them without our team's code quality or security posture slipping?

Our AI engineering practice co-builds with senior engineers alongside your team, audits your tooling, and puts the standards, governance, and CI/CD integrations in place that make AI-assisted development hold up at scale.

Explore AI Engineering →
AI Engineering Maturity
Where Is Your Team Today?
01
Ad Hoc
Individual experimentation. No shared standards.
02
Standardizing
Shared tools, tiered code review with AI involvement.
03
Integrated
AI wired into CI/CD, governance and audit trails in place.
04
AI-Native
Codebase-aware skills, autonomy scoring, AGENTS.md.
Security & governance

Built to the Standards Your Customers Expect.

We build with encryption in transit and at rest, role-based access control, data residency options, and AI-specific governance for prompts, tools, and audit trails. Our teams have worked under the standards below, and we design every system around the compliance posture your data requires.

Enterprise
SOC 2
Healthcare
HIPAA
Payments
PCI-DSS
Privacy
GDPR / CCPA
Education
FERPA
Posture
Zero-Trust
Get started

Have an AI Project You Need to Ship?

Whether you're scoping a first build or restarting a stalled initiative, we'd like to hear what you're working on.