SERVICES · DATA & AI

Generative AI

GenAI applications built on your own data and workflows — not a generic chatbot bolted onto your product.

0 Core Capabilities
0 Ways We Build In Reliability
0 Step Delivery Process

OVERVIEW

What we provide

Most GenAI disappointment comes from the same place: a generic chatbot bolted onto a product with no real connection to the business's own data or workflows. We build GenAI applications the other way around — grounded in your actual knowledge base, your actual documents, your actual processes — with the evaluation and guardrails that make them reliable enough to put in front of real users.

CAPABILITIES

What's included

HOW AI HELPS

Where AI actually helps

Building GenAI systems reliably takes its own layer of tooling and process — this is where that shows up.

WHAT'S CHANGING

Where GenAI is heading

SOUND FAMILIAR?

The most common reasons teams call us

"Our chatbot makes things up and we can't predict when."

→ Grounded RAG systems & evaluation-driven development

"We bolted on a GenAI feature and it doesn't actually use our data."

→ Applications built on your own knowledge base from the start

"We have no way to tell if a prompt change made things better or worse."

→ LLM evaluation harnesses & guardrails

"Our LLM costs are unpredictable and climbing."

→ Cost & latency optimization for LLM systems

HOW WE DELIVER THIS

From use case to production GenAI

01

Scope

Define the actual use case, data sources, and what "working" means.

02

Build

RAG, fine-tuning & application architecture built around your data.

03

Evaluate

Rigorous evaluation & guardrail testing before anything reaches users.

04

Operate

Ongoing monitoring, cost optimization & improvement post-launch.

WHAT WE BUILD

Concrete deliverables

Outcomes

GenAI features grounded in your own data, reliable enough to put in front of real users.

RELATED SERVICES

Often paired with this

ML Models

Custom machine learning models — trained on your data, evaluated rigorously, and deployed into production.

Agentic AI & Custom Agents

Autonomous agents that plan, use tools, and execute multi-step work across your systems.

Data Engineering

The pipelines and infrastructure that get data from your systems to the people and models that need it.

Have a GenAI idea that needs to actually work?

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