Protocols · Agents · Products
AI Agent Development and Data Engineering
Netixsol builds AI agents that answer questions, take actions and work with your data. We design the agent, connect it to your systems, test it against real cases and run it in production.
AI agents for your workflows
Agents that plan steps, call your tools and APIs, and hand off to a person when they should.
Natural-language analytics
Ask a question in plain English and get the answer from your database as a number, table or chart, as in StatGPT.
LLM assistants grounded in your data
Assistants that answer from your documents and knowledge base and show their sources (RAG).
Data pipelines
Collecting, cleaning and structuring the data your agents rely on.
Evaluation and guardrails
Test sets, accuracy tracking, permissions and human review, before and after launch.
Shipped work
StatGPT
An AI sports analyst we built: users ask in plain English and get answers built from NBA, AFL and AFLW player data.
- Player stats analysis: Season, per-game, advanced and round-by-round stats, plus head-to-head comparisons over any recent run of games, with totals and averages.
- Natural-language questions: Everyday questions become precise database queries, and the conversation is remembered.
- Visual answers: Results come back as charts and stat tables, not just text.
Built with LangGraph agents on OpenAI models, PostgreSQL and semantic search.
See more of our workQuestions buyers ask
What AI agents does Netixsol build?
Agents that answer questions from your data, automate multi-step tasks with your tools, and assist your team, from first prototype to production.
Can the agent use our own data safely?
Yes. It connects to your databases and documents with the access rules you set, and every answer can show where it came from.
Which AI models do you use?
We choose the model per use case. StatGPT, for example, runs on OpenAI models orchestrated with LangGraph.
How is an AI project priced?
Every project is scoped and quoted after a short discovery call.
Where is the team?
Front office in Dubai (Innovation One, DIFC) and engineering in Faisalabad, Pakistan.
Have an AI agent or data product in mind? Tell us what it should do.
Protocol-grade engineering for AI, DeFi and digital products.
Protocols · Agents · Products
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