Techlexity
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AI Solutions · LLM & Chatbots

Conversations that
convert.

Develop assistants grounded in your business data, then keep evaluating their behavior, reliability and running costs. Your $1,499/month AI Product Team includes planning, implementation and human review, with one active priority.

See the $1,499 plan Let's talk
Editorial illustration of conversational AI, connecting questions, knowledge and useful actions.
AI-first. Human-backed.Explore this service

What We Build

Assistants that do
real work.

01

Grounded in your data

RAG pipelines over your docs, catalogs and knowledge bases, so answers are accurate, current and cited.

02

Beyond chat: real actions

Function calling lets the assistant book, search, update and buy inside your product, turning conversations into conversions.

03

Guardrails by default

Prompt-injection defenses, content filters, evals and fallbacks. Your assistant stays on brand and on task.

04

Any channel, one brain

Web, mobile, WhatsApp, Slack or voice: one assistant with shared memory across every surface your users prefer.

Part of your product subscription

One plan.
Your next possibilities.

Design, web and mobile development, releases and analytics setup. One agreed priority in progress at a time.

$1,499/ month

Explore everything included Founding client pilot. Code you own.

  • AI builders. Human expertise.

    Implementation, testing and experienced engineering review in one team.

  • Management included.

    We organize your backlog, agree priorities and keep you up to date.

  • Keep testing your ideas.

    Release an agreed milestone, measure what matters and choose the next move.

Tools & deliverables

The tools behind our LLM work.

Provider-agnostic by design, so your assistant always runs on the best model for the job.

  • OpenAI API
  • Claude
  • Gemini
  • RAG Pipelines
  • pgvector
  • Pinecone
  • Function Calling
  • Embeddings
  • Whisper
  • Streaming UX
  • Evals
  • Guardrails

How We Work

Build. Launch.
Learn. Repeat.

  1. Step 1

    Choose the next priority

    Share the assistant use case. We agree the first useful behavior, data access and success checks.

  2. Step 2

    Prototype & evaluate

    Test retrieval, prompts and model choices against representative questions before planning the integration.

  3. Step 3

    Build & review

    Implement the agreed assistant features and permissions, with evaluation tests and human engineering review.

  4. Step 4

    Release & tune

    Review real usage, quality and cost after release, then prioritize the next improvement to the assistant.

Our Work

Products we've
shipped.

See all work
Medsembly

Medsembly

Medical Networking

Karizma

Karizma

Job Matching App

Tulipo

Tulipo

Educational App For Kids

One conversation can start something.

Good ideas deserve
to be built.

Plan your first build

Your next idea, one clear milestone at a time. An AI product team, human review and project management for $1,499/month.