AI engineering.
From architecture to delivery.
Retrieva Labs builds production RAG systems, agents and AI powered software. Based in Peshawar, Pakistan, the agency works across architecture, backend integration, testing, deployment and handover.
What the agency builds.
Retrieval systems
Make complex documents useful through ingestion, search and answers with source context.
02Agents and tools
Connect models to useful tools with persistent state and clear human control.
03Automation and voice
Bring AI into the channels and business systems people already use.
04Applied machine learning
Develop models and pipelines around a defined task, data and evaluation plan.
05AI products and SaaS
Build the backend, interfaces and integrations that turn a model capability into a usable product.
A clear build.
A clear handover.
Discovery defines the task and constraints. The architecture proposal makes the system explicit. A scoped build, regular checks, evaluation and documentation carry it into use.
- Define the data, users and useful outcome
- Set model, retrieval and tool boundaries
- Test output quality and important failure paths
- Document integration, deployment and operation
Muhammad Mubashir
Owner and AI/ML Engineer. Independent engineering since 2021, previous work at Giant Tech Solutions and a BS in Computer Science from UET Peshawar.
The project archive showcases the engineering experience behind Retrieva Labs. Each case describes the role, recorded scope, figures and evidence available to review.
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Bring the problem, data and goals. The useful next step starts with that context.
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