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Useful AI, not demos

AI & Data Systems

Language-model features, data pipelines and analytics that solve a real workflow, with evaluation, guardrails and humans in the loop.

Engineer building an AI system in a robotics lab, for the AI & Data Systems service in the Kernova software agency template

Timeline

8 – 16 weeks

Team

3 – 5 AI and data engineers

From $30k

Typical starting budget

What’s included

LLM features and agents

Data pipelines

Search and retrieval

Evaluation and guardrails

Overview

We build AI features that solve a real workflow, not demos. From document search to support agents, we connect language models to your own data and wrap them in interfaces people trust.

How it works

We begin with an evaluation set of real examples, so every change is measured. Then we build retrieval over your data, add guardrails and design clear ways for people to check and correct answers.

What you get

→ A production AI feature with an evaluation suite

→ Data pipelines and search over your content

→ Dashboards for answer quality and running cost

→ Documentation and handover to your team

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