AI That Survives Contact With Production

THE Claude, agent, evaluation and platform ENGINEERS YOU'VE BEEN LOOKING FOR

Most AI projects demo beautifully and break at scale. We build the ones that hold — retrieval that returns the right thing, agents that fail safely, and evaluation that tells you the truth before your customers do.

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Our Core Offering

From Prototype to Production-Grade

Most companies can get an AI prototype working. Far fewer can make it reliable, measurable and safe enough to put in front of a customer. That gap is the work. Claude is the model we reach for by default, and we build on your data, inside your systems, with evaluation in place from the first week rather than the last.

  • Retrieval & RAG pipelines — grounded answers from your own data, with the plumbing to keep them accurate as that data changes.
  • Agentic systems — agents that take real actions inside your stack, with guardrails and human checkpoints where the stakes justify them.
  • Evaluation harnesses — including LLM-as-judge scoring, so you know whether a change improved the system before you ship it.
  • Platform AI, switched on properly — the AI already inside Salesforce and ServiceNow, configured to earn the licence cost you're paying.
See how we build
ScopeThe use case, and the bar it has to clear
BuildA working system in weeks, evaluated as it is built
OperateMonitoring, guardrails, and a team that can run it without us
Illustration of an AI assistant connected to a neural network

Where is your business on its AI journey?

Some teams need the fundamentals explained. Others need senior engineers who can ship this quarter. We start where you actually are.

Stage 1 · Learning Problem

“Our team needs to understand what AI can and can’t do.”

Solution

AI Education & Hands-On Workshops

Start here
Stage 2 · Strategizing Problem

“We’re ready to invest, but we don’t know which use case to back.”

Solution

Readiness Audit & Use-Case Roadmap

Get the roadmap
Stage 3 · Deploying Problem

“We have the plan and no capacity to build it.”

Solution

Embedded AI Engineering Team

See how it works
Stage 4 · Scaling Problem

“It works — but we’re not confident it holds at volume.”

Solution

Production Hardening & Fractional AI Leadership

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Built for how your business actually runs

Embedded Delivery Teams

Senior AI and platform engineers working inside your team, on your roadmap, for as long as you need them.

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Salesforce

Get more from Salesforce with sound configuration, custom builds and automation that holds up.

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ServiceNow

Faster, smoother service delivery on ServiceNow — including the AI you are already paying for.

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CRM for SMB

Build the customer foundation a small business needs before it tries to scale.

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Our Services

AI Engineering & Automation

We find the processes where AI genuinely moves the needle, then design, build and ship it — retrieval pipelines, agents that handle routine requests end to end, automations that take hours of manual work out of the week. Every build ships with an evaluation harness, explicit guardrails on your data, and a handover plan so your team owns the system rather than depending on us to keep it alive.

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Planning & Analysis

Before anything gets built we map how the business actually runs. We work with your stakeholders to untangle competing requirements, rank them by payback, test technical feasibility, and turn it into a roadmap with real scope and real cost — including the use cases we recommend you don't fund.

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Engineering & Development

Whether you arrive with a rough idea or a written specification, our engineers and architects take it from there — configuring the platform where standard features genuinely fit, and writing clean, tested, maintainable code where they don't.

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Implementation & Enablement

A system only pays off when people use it. We run the full rollout and role-based enablement so your teams are confident from day one and adopt the new way of working rather than quietly routing around it.

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Integration & Migration

We connect your platforms to the rest of your stack and move data between systems safely — records consistent, duplicates resolved, nothing lost, and a rollback path for the day something goes wrong.

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Selected Work

Client names are withheld under NDA. We’re happy to walk through the architecture of any of these on a call.

Multi-tenant search-marketing platform

Built for a marketing agency serving many clients from a single system. Claude runs at several levels of the stack — content generation, analysis workflows, and the retrieval layer behind both — with tenant isolation, Postgres and vector search underneath. Designed to hold as the agency’s client roster grows rather than to demo well once.

Two production applications, built with Claude Code

FastAPI and Next.js applications taken from design through deployment and migration, including their Postgres and vector-search layers and a cloud analytics warehouse. Claude Code was the primary development tool across both builds.

Consumer apps hardened for real users

AI-generated prototypes from early-stage founders, rebuilt into systems that survive real traffic — proper data layers, error handling, evaluation and monitoring where there had been none.

WHY CHOOSE US?

Senior engineers, honest advice, and a straight answer on whether AI is the right tool for the problem in front of you.

Production-firstWe build systems to survive real users, not to demo well.
Measured, not assertedEvaluation harnesses so you can see whether it actually works.
Responsible by defaultData privacy, security and human oversight designed in, not bolted on.
Flexible engagementProject, embedded or fractional. Your call.

LET'S BUILD WHAT'S NEXT

Book a technical consult.

Tell us what you’re trying to build — a pilot that needs to become a product, a system buckling at scale, or an extra pair of senior hands. You’ll hear back within one business day, from someone who can talk about the actual architecture.

Thanks — we’ve got it. You’ll hear from us within one business day.