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NexaSoftech
Service

AI and Intelligent Automation

LLM features, retrieval over your own documents, and automation that removes real hours from a real process.

Why Partner with Us

What Makes the Delivery Different.

The same standards apply whichever service you start with.

Premium quality

Code reviews, automated and manual testing, performance and security checks before anything ships.

Seamless collaboration

Your tools, your standups, your board. We work inside your process rather than beside it.

Deadline driven

Scope is agreed in writing and dates are held. If something slips you hear it early, not at the deadline.

Clear and honest pricing

Written estimates before work begins, and no invoice that contains a surprise.

Senior engineers only

You get the people you met. No handover to juniors after the pitch.

Scalable by design

Architecture chosen for the tenth release, not just the first, so growth does not force a rewrite.

How We Deliver It

Four Stages, and You See the Software in All of Them.

01

Use case

We pick the one workflow worth automating and agree what a good answer looks like, before any model is chosen.

02

Data and evals

Your data is prepared and an evaluation set is written, so quality is measured rather than argued about.

03

Build

Retrieval, prompts, tools and guardrails, wired into your product rather than into a separate demo.

04

Monitor

Cost per request, latency and answer quality tracked in production, with a way to roll a prompt back.

What You Get
  • Source code, prompts and evaluations in your accounts
  • An evaluation set that scores every change
  • Guardrails and a human step on anything irreversible
  • Cost and latency per request, visible
  • A rollback path for prompts and models
  • A written note on what the system cannot do
Stack we build on
PythonTypeScriptNext.jsNode.jsOpenAIClaudePostgreSQLRedisElasticsearchAWSDockerVercel
Questions

Before You Ask Us.

An evaluation set built from your own examples, scored before and after every change. Without one there is no way to tell an improvement from a lucky demo.

Have a Process that Eats Hours Every Week?

Describe the task and we will tell you honestly whether AI is the right tool for it.