Atheria*
Atheria/Services/AI Integrations

Add real AIto the productyou already ship.

RAG over your domain, copilots in your dashboards, model‑aware features that survive contact with production users. We bring evaluations from day one so the gains don't quietly drift away.

01
The problemWhat this practice is actually for.

Most 'AI features' are demos that haven't met production.
Evals or it didn't ship.

~63%

Of teams launching AI features have no eval pipeline at all.

~$0

Spent on offline eval before launch by the average mid‑stage team.

~11 wks

Average time we take from kickoff to a measured, monitored copilot.

02
Who it's forThe teams we tend to work with.
01Teams whose product is in production but the AI feature is still a demo
02B2B SaaS adding copilots, smart search, or RAG-backed assistants
03Companies with proprietary data that gets value from staying inside
04Engineering leads who want evals, not vibes, behind the launch
03
ProcessEvery engagement, every time.
  1. 01

    Discovery call

    30 minutes. We look at the data you have and the wins on the table.

  2. 02

    Eval kickoff

    Week one builds the eval harness. Everything else is measured against it.

  3. 03

    Integration build

    6–10 weeks adding the feature inside your product. Weekly eval‑graded demos.

  4. 04

    Production launch

    Behind a flag first. We watch the metrics for two weeks before declaring done.

  5. 05

    30‑day support

    We stay on hand while your team grows ownership of the evals. Then we leave.

02
Selected work · 2024–2026Three cases. Pulled from a longer log.
★ Let's build
Upgrade your business
this quarter.

A 30‑minute discovery call. We'll tell you whether we're the right team, even if we're not.

● Booking Q3 20262 of 4 slots open--:-- GMT+1 · Lagos