Opalina Technologies
Services

AI engagements, engineered.

Thirteen years of shipping complex software informs how we package AI engagements today. Each one has a clear scope, timeline, and deliverable. You always know what you're buying — and when it ships.

01
2 weeks

AI Readiness Audit

Know exactly where AI pays off in your business.

A focused two-week engagement where we map your workflows, data, and systems, then deliver a prioritized roadmap of AI opportunities ranked by ROI and feasibility.

Deliverables

  • Opportunity map with 8–15 prioritized use cases
  • Data & systems readiness scorecard
  • 12-month phased AI roadmap
  • Executive readout and team workshop

Best for

Leaders who know AI should be on the roadmap but want rigor on what to build first.

02
6–12 weeks

Custom GenAI Build

From prototype to production in weeks, not quarters.

We design and ship custom LLM applications — agents, copilots, or assistants — end to end. Evaluation, guardrails, observability, and CI baked in from day one.

Deliverables

  • Production-grade application in your stack
  • Evaluation harness with regression tests
  • Observability & cost controls
  • Runbook and knowledge transfer

Best for

Teams with a validated use case ready to ship a defensible AI product.

03
4–8 weeks

RAG & Knowledge Systems

Turn scattered documents into a reliable answer engine.

We build retrieval-augmented systems that actually answer questions accurately — the right chunking, retrievers, rerankers, and evaluation for your corpus and domain.

Deliverables

  • Ingestion pipeline for your sources
  • Hybrid retrieval with reranking
  • Answer quality evaluation suite
  • Admin console and feedback loop

Best for

Companies sitting on large internal knowledge bases, support docs, or regulatory corpora.

04
1 week

AI Strategy Sprint

One week. Your leadership aligned on an AI bet.

An intensive sprint with your executive team to pressure-test an AI thesis, competitive positioning, and investment plan. You leave with conviction and a decision memo.

Deliverables

  • Market and competitor AI teardown
  • Thesis pressure-test workshop
  • Decision memo for your board
  • 90-day execution plan

Best for

CEOs, CTOs, and product leaders making a cross-company AI investment decision.

05
Ongoing (3-month minimum)

Fractional AI Team

Your embedded AI team, without the 9-month hire cycle.

A senior, cross-functional pod — ML engineering, applied research, product, and design — embedded with your team on a monthly retainer. Ship a portfolio of AI features, compound learning.

Deliverables

  • 3–5 person embedded pod
  • Weekly shipping cadence
  • Upskilling of your internal team
  • Quarterly strategy review

Best for

Scale-ups without an internal AI team who need to move on multiple AI initiatives in parallel.

Don't see your shape of problem?

A lot of our best work starts as a 30-minute call where we argue about what the right engagement actually is.