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LLM · Agents · ML

AI that does the work not just demos.

We build LLM products, autonomous agents, and predictive systems that turn proprietary data into action — measured, evaluated, and deployed by senior engineers.

Studio

A small studio with senior wiring

A software, AI, and cloud studio — small enough that the people doing the work are also the people on the call.

Ship to learn

Working software in week one beats a perfect plan in month three.

Craft over volume

Fewer engagements, deeper attention. We don't run a body shop.

Plain language

We explain trade-offs, not buzzwords. You can read every estimate.

Own the outcome

If it breaks at 2 AM, that's our problem too. We support what we ship.

Practices

What we build

Six practices, one team. Pick the one you need — most clients pull from two or three.

LLM & RAG systems

Retrieval-augmented assistants and copilots tuned on your knowledge — with citations, guardrails, and evals you can audit.

  • RAG over private data
  • Prompt & tool engineering
  • Citations & guardrails

Autonomous agents

Agents that plan, call tools, and complete multi-step work — with traces, evals, and a human in the loop where it matters.

  • Multi-step tool use
  • Memory & long-context
  • Human-in-the-loop review

Predictive analytics

Forecasting and classification models that turn historical operational data into decisions you can defend.

  • Forecasting & demand
  • Classification & scoring
  • Anomaly detection

NLP & speech

Document understanding, summarization, classification, and speech pipelines — production-grade, not notebook-grade.

  • Document extraction
  • Summarization & search
  • Speech-to-text & TTS

Computer vision

Detection, OCR, and visual quality systems for ops, security, and field workflows — with edge or cloud deployment.

  • Detection & OCR
  • Quality & defect inspection
  • Edge & cloud inference

MLOps & evals

Evaluation harnesses, monitoring, and deploy pipelines that keep your AI honest after the demo is over.

  • Eval harnesses
  • Drift & quality monitoring
  • Model & prompt versioning
Delivery rhythm

How an engagement runs

From first call to long-term care.

Step 01

Scope week

One week, fixed fee, written deliverables: outcome map, architecture sketch, milestone plan.

Step 02

Build sprints

One- or two-week sprints, every sprint ends with a working demo on a real environment.

Step 03

Review & test

Code review on every change, tests in CI, written architecture decisions. We don't ship faith-based code.

Step 04

Launch & care

Logs, dashboards, alerts from day one — then bug fixes, upgrades, on-call. Or a clean handover to your team.

First-call clarity

Common questions, direct answers

The questions we get on most first calls — answered before you have to ask.

Got something more specific in mind? Let's get on a call.

Contact

Start a conversation

Drop us a brief — what you're building, what's in the way. We'll write back within one working day.

Get in touch

Email

info@neomindtech.com

Phone

+962 78 6877 996

Location

Amman - Jordan

Connect with us

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