AI Integration

AI features your users actually use.

Most teams ship AI demos. We ship AI products in production. From LLM integration to autonomous agents — built to run, not to impress.

11+ production systems shippedPakistan's first AI legal chatbot builtLive in production
AI integration — machine learning visualisation
Why teams ship AI with us

Fast. Trusted. Autonomous.

Fast

Production-ready in weeks, not quarters. Senior engineers ship AI features without the typical research-paper detour.

Trusted

Built-in guardrails for prompt injection, hallucination control, cost monitoring, and compliance. Every AI feature ships with safety nets.

Autonomous

AI agents that take action, not just chat. Workflow automation, RAG systems, autonomous decision-making — built for real ops.

From zero to AI hero

AI that fits your product, not the other way round.

Native to your product
01

Built for your product, whatever it does

We learn your codebase, your data, your customers. AI features that feel native to your product — not a chatbot bolted on.

Core capabilities
02

Your AI essentials, built by senior engineers

LLM integration, RAG systems, conversational interfaces, AI agents, document intelligence. The capabilities your buyers want — delivered by people who've shipped them before.

Your models, your stack
03

Stay true to your brand and your stack

We work in your stack — Next.js, React Native, Python, Node. With your models — OpenAI, Anthropic, Google, open-source. No forced platform lock-in.

Modular by design
04

Scale without rebuilding

Start with one AI feature. Add more as you grow. Built on modular architecture so adding capability #2 doesn't mean rewriting #1.

What we build

Five AI capabilities, production-ready.

LLM Integration

We wire large language models into your product the right way — structured prompts, output validation, streaming, retries, and cost controls. Not a raw API call wrapped in hope.

We built Lexa on a tuned LLM pipeline — Pakistan's first AI legal chatbot, live at lexa.lawyer.

Typical use cases
Drafting & summarisationClassification & routingStructured data extractionNatural-language search
LLM Integration
Proof — AI in production

Shipped, live, and in real hands.

Lx
Lexa
Preview coming soon
Live
Featured · Legal Tech

Pakistan's first AI legal chatbot

Built by Tackxel — live at lexa.lawyer. Conversational legal guidance grounded in real law with an LLM + RAG pipeline.

LLMPrompt EngineeringConversational AILegal DomainNext.js
MF
My Friend
Preview coming soon
Founder's prior work · Clustox

AI emotional companion app

An LLM-powered companion built on GPT, with trusted user and family integration.

ChatGPTGenerative AILLMFlutter
The stack

Models and tools we ship with

The right model for the job, not the one we're married to. These are the ones we reach for most.

OpenAI
GPT-4/5
Anthropic
Claude
Google
Gemini
Meta
Llama
Mistral
Open models
LangChain
Orchestration
LlamaIndex
Data framework
Pinecone
Vector DB
Weaviate
Vector DB
Supabase
pgvector
Next.js
App layer
Python
ML & backends
Who we work with

Built for teams who need it to work

Founders adding AI features

You have a product and a roadmap. You need AI features that ship and hold up in production — fast.

Companies who can't hire for it

You need senior AI integration but can't justify a full-time hire or wait six months to land one.

Teams who want the real thing

You want production-grade AI with guardrails and observability — not a weekend demo that breaks under load.

FAQ

Questions, answered straight

Building AI capabilities directly into your product — LLMs, RAG, agents, conversational and document intelligence — wired into your codebase, data, and workflows so they run in production with real users, not just in a demo.

AI that ships

Ready to ship AI that actually works?

Tell us what you're trying to build. We'll handle the rest.