Enterprise RAG platforms, AI agents, document AI and automation for legal, government, healthcare, finance and SaaS teams. Like the system that reads 50,000+ court decisions.redacts personal data at 98% accuracy.serves 10,000+ queries a day.cut LLM token costs by about 90%.reads 50,000+ court decisions, redacts personal data at 98% accuracy, serves 10,000+ queries a day, cut LLM token costs by about 90%.
RAG platforms, AI agents, Document AI, Voice AI, Automation, LLM integration, AI SaaS. Evaluation-gated, Compliance by design, Cited answers, Human approval, You own the code, Production, not demos.
Evaluation-gatedCompliance by designCited answersHuman approvalYou own the codeProduction, not demosEvaluation-gatedCompliance by designCited answersHuman approvalYou own the codeProduction, not demos
(01) Why Retrieva Labs
Why teams choose Retrieva Labs
Most AI never leaves the demo. We build the other kind: search that cites its sources, agents that ask before they act, and pipelines that protect personal data before any model sees it.
01
Evaluation-gated
Golden datasets and automated evals decide every change, not opinions.
02
Compliance by design
Personal data is removed before it can reach an index or a prompt.
03
Yours to own
Code, prompts, evals and documentation are handed over in full.
(02)Results
Numbers you can audit.
Every figure comes from a system we delivered. Follow any number to the case study behind it.
A free strategy call, then a discovery sprint: goals, users, data, systems, constraints and the metrics that define success.
Discovery brief and success criteria
02
Weeks 1–2
Architect
We design retrieval, models, tools, security and compliance boundaries, and agree an evaluation plan before writing production code.
Architecture blueprint and fixed-scope proposal
03
Weeks 2–8
Build
Milestone-based sprints with weekly demos and a shared repository from day one. You see working software every sprint.
Working increments every sprint
04
Continuous
Evaluate
Golden datasets, automated evaluations, edge-case and safety testing, plus latency and cost budgets checked on every release.
Evaluation report
05
Final sprint
Launch
Deployment to your cloud or ours, monitoring, runbooks, documentation and a hands-on handover to your team.
Production system and documentation
06
Ongoing
Scale
Optional retainer for new use cases, model upgrades, quality improvements and cost optimization as usage grows.
Roadmap and continuous improvement
Muhammad MubashirFounder & CEO, Retrieva Labs
100%Job Success · Top Rated
(07) Founder & CEO
Led by the engineer who builds it.
“Most AI projects stall between the demo and production. We exist to close that gap with real engineering: measurable evaluations, compliance by design, and systems your team can own.”
Muhammad founded Retrieva Labs to bring production discipline to enterprise AI. For more than four years he has designed and shipped RAG platforms, agentic systems and AI-powered SaaS for clients in legal-tech, government, healthcare, finance and cloud infrastructure. He personally leads the architecture of every Retrieva Labs engagement.
“It has been a real pleasure working with Mubashir on this highly technical and time-sensitive legal-tech project. From the outset, he demonstrated strong professionalism and deep technical knowledge.”
“Collaborating with Mubashir, an exceptional AI engineer, has been truly inspiring. He consistently delivers top-notch results without compromising on deadlines or quality. His exceptional communication skills make complex AI concepts easy to understand.”
“Muhammad was great, he went above and beyond the scope of work and truly cares about giving his clients the best experience — he is also an AI expert.”
ClientCustom GPT and AI assistant buildUpwork · 2026
“Muhammad consistently demonstrated exceptional availability and support throughout the design and study phases of my project, which involved creating a chatbot. His expertise in this area is evident and invaluable.”
Six quick questions. Get a recommended architecture, the closest system we have delivered, a realistic timeline and the team shape. The plan is free to view; email is optional.
Still unsure? Ask our AI above, or bring the question to a free strategy call.
01
What does Retrieva Labs build?
We design and build production AI systems: enterprise RAG platforms and AI search, AI agents and multi-agent systems, document AI and PII anonymization, workflow automation and voice agents, AI SaaS products, LLM integrations and custom machine learning. Most of our work is for document-heavy and regulated teams in legal, government, healthcare and finance, and for SaaS companies shipping AI features.
02
How much does an AI development project cost?
Every engagement is scoped after a free strategy call, because cost depends on your data, integrations and compliance needs. Most projects start from $5,000. Defined builds run on fixed-price milestones, and ongoing work runs on a monthly retainer, so you always know what you're paying for.
03
How long does it take to build a RAG system or an AI agent?
A discovery sprint takes one to two weeks. Focused pilots usually ship in three to six weeks, and enterprise platforms with multiple data sources, access tiers and compliance requirements typically take eight to twelve weeks. You see working software at the end of every sprint.
04
How do you keep our data private and secure?
Privacy is designed in, not added later. We anonymize personal data before it is indexed or sent to a model, enforce role-based access at query time, encrypt data, log access, and can deploy inside your own cloud or on-premise with open-weight models when data must not leave your environment. We sign an NDA before discovery whenever you need one.
05
Which models and platforms do you work with?
We are model-agnostic: Claude, GPT, Gemini, Llama, Mistral and others, through direct APIs, Amazon Bedrock, Azure OpenAI or Google Vertex AI. We integrate with your existing stack on AWS, Azure or Google Cloud, and with your databases, CRMs and internal APIs.
06
Who owns the code and intellectual property?
You do. All source code, prompts, evaluation datasets, models and documentation we create for you are delivered to your repositories and owned by you.
07
Can you improve or audit an AI system we already have?
Yes. Our AI Audit & Evaluation engagement reviews architecture, retrieval, prompts, security, cost and documentation, measures answer quality on real questions, and delivers a prioritized fix list. We have audited production LLM systems ahead of team handovers.
08
How do you work with teams in other time zones?
We are based in Pakistan (UTC+5), with daily overlap with UK, European and Gulf business hours and morning overlap with US Eastern time. You get weekly demos, async updates in Slack or Teams, and one senior point of contact throughout.
09
Why choose Retrieva Labs over a larger agency?
You work directly with senior engineers, and every engagement is architected by our founder. We have shipped compliance-grade AI in production, including 98% PII detection and 100% compliance on 50,000+ legal decisions, and we prove quality with evaluations rather than slideware.
Book a free 30-minute strategy call with our founder. You’ll leave with a clear view of the right architecture, timeline and next step, whether or not we work together.