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AdmerTech
Services/Applied AI
Service

Applied AI

Production AI that moves a metric — not a demo that wins a Slack channel.

RAG over your data. Agents that take real actions. LLM features your users trust. Shipped with the evals, guardrails and observability to actually run in production.

Typical outcomes

Based on our last 20 engagements

−38%
Avg. cost reduction
52%
Deflection rate
100%
Model eval coverage
Deliverables

What's in the box.

Scope shifts per engagement, but these are the typical building blocks we ship. Everything is documented, tested and handed over cleanly.

  • RAG knowledge assistants
  • Autonomous / semi-autonomous agents
  • LLM features inside your product
  • Fine-tuning & eval harnesses
  • Model routing & cost controls
  • Guardrails, safety & observability
Our process

How a applied ai engagement runs.

01

Identify

Find a measurable use case with real ROI.

02

Prototype

Thin vertical slice with offline evals.

03

Harden

Safety, observability, cost & latency budgets.

04

Integrate

Ship into the product, instrument everything.

05

Improve

Continuous eval loop with real user data.

Stack & tools

Opinionated, but pragmatic.

We bring a battle-tested default stack — and happily plug into whatever you're already running. Your codebase, your conventions, your call.

OpenAIAnthropicLangChainLlamaIndexVercel AI SDKpgvectorPineconeHugging Face
FAQs

Quick answers.

Can you work with sensitive data?

Yes — private deployments, VPC, BYOK and on-prem inference options are all on the table.

Do I need a huge dataset?

Usually not. Most wins come from retrieval and good prompting — long before fine-tuning.

Ready when you are

Let's ship your applied ai.

A 30-minute call. Honest feedback. A clear proposal within 48 hours — or a referral to someone better suited.