Retrieva Labs

Enterprise AI Engineering Agency

We build AIthat worksin production.

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%.

  • 100%Job Success
  • 5.016 reviews
  • Top Ratedon Upwork

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.

(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.

(03)Live demo

Ask our AI. Live.

A lightweight, in-browser version of the triple-search architecture we built for Datagreffe Justice, running over this website’s own content.

Retrieval lanes

Waiting for a question

Keyword

BM25 · exact terms

  1. —

Semantic

Vectors · meaning & synonyms

  1. —

Metadata

Industry & service intent

  1. —

Answer with citations

Ask anything about our projects, services or process. Three search lanes rank this site’s content, then the best passages are fused and cited.

01

Keyword · BM25

Exact legal terms, article numbers and references, ranked by term rarity.

02

Semantic · vectors

Meaning over spelling: “lawyer privacy” still finds anonymization work.

03

Metadata · structure

Court, date, jurisdiction and appeal chain in production; industry and service here.

See the production system: 50,000+ court decisions

(05) Selected work

Proof, in production.

Enterprise platforms for legal, government, health and cloud teams. Every number is from the delivered system.

Scroll

12 case studies · 6 industries

See all
the work

(06) Process

From first call to production.

A senior-led delivery model with working software every sprint, evaluation before launch and a clean handover to your team.

Start with a strategy call
  1. Week 1

    Discover

    A free strategy call, then a discovery sprint: goals, users, data, systems, constraints and the metrics that define success.

    Discovery brief and success criteria

  2. 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

  3. 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

  4. Continuous

    Evaluate

    Golden datasets, automated evaluations, edge-case and safety testing, plus latency and cost budgets checked on every release.

    Evaluation report

  5. Final sprint

    Launch

    Deployment to your cloud or ours, monitoring, runbooks, documentation and a hands-on handover to your team.

    Production system and documentation

  6. Ongoing

    Scale

    Optional retainer for new use cases, model upgrades, quality improvements and cost optimization as usage grows.

    Roadmap and continuous improvement

Muhammad Mubashir, Founder and CEO of Retrieva Labs
Muhammad MubashirFounder & CEO, Retrieva Labs
100%Job Success · Top Rated

(07) Founder & CEO

Led by the engineer who builds it.

Mubashir
“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.

  • Architect of Datagreffe Justice: 50,000+ court decisions, 98% PII detection, 100% compliance
  • National-scale political RAG assistant built for 10,000+ queries a day
  • ~90% lower LLM input-token costs on a 24/7 AI SaaS through prompt caching
  • Top Rated on Upwork: 100% Job Success, 5.0★ across 27 engagements

(08) Client words

What clients say

5.0

Average across 16 Upwork reviews, with 100% Job Success and Top Rated status. Quotes are verbatim.

Verify on Upwork
“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.”
Client, Datagreffe JusticeLegal-tech document search platformUpwork · 2025

(09)Stack

Every layer. One standard.

145 tools, frameworks and practices, chosen per task on evidence. Bold items are proven in delivered client work.

LLMs & model platforms

Claude (Anthropic) · OpenAI GPT-4o · Amazon Bedrock · GPT-5 & o-series · Google Gemini · Meta Llama · Mistral · DeepSeek · Qwen · Azure OpenAI · Google Vertex AI · Hugging Face · Ollama · vLLM

Agents & orchestration

LangChain · LangGraph · CrewAI · Model Context Protocol (MCP) · Claude Agent SDK · Function calling & tool use · OpenAI Agents SDK · AutoGen · LlamaIndex · Pydantic AI · DSPy · Semantic Kernel

RAG, search & vector databases

Pinecone · Elasticsearch · Qdrant · FAISS · MongoDB · Hybrid search (BM25 + vector) · Weaviate · Milvus · pgvector · Chroma · OpenSearch · Cohere Rerank · GraphRAG · Neo4j

Document AI & OCR

OCR pipelines · PII anonymization · PDF extraction · Tesseract · AWS Textract · Azure Document Intelligence · Google Document AI · Unstructured · LlamaParse · PyMuPDF · spaCy · Microsoft Presidio

LLMOps, evaluation & safety

LLM evaluation · Prompt engineering · Prompt caching · Human-in-the-loop · LangSmith · Langfuse · RAGAS · DeepEval · Promptfoo · Guardrails AI · Semantic caching · MLflow · Weights & Biases

Machine learning & computer vision

PyTorch · TensorFlow · scikit-learn · Computer vision (CNNs) · NLP · Time-series forecasting · Statistical modelling · Pandas & NumPy · Keras · XGBoost · LightGBM · Hugging Face Transformers · LoRA / QLoRA fine-tuning · OpenCV · YOLO

Voice & conversational AI

OpenAI Whisper · Twilio · WhatsApp Business API · Speech-to-text & text-to-speech · ElevenLabs · Deepgram · OpenAI Realtime API · Vapi · Retell AI · LiveKit

Automation & integrations

n8n · Make.com · Zapier · GoHighLevel · Stripe · Webhooks & REST APIs · HubSpot · Salesforce · Slack · Microsoft Teams · Google Workspace · Airtable · RPA

Application engineering

Python · TypeScript · JavaScript · FastAPI · Flask · Node.js · Express.js · React · Next.js · SQL · Streamlit · Celery · Django · PostgreSQL · MySQL · Redis · Supabase · GraphQL · WebSockets · Tailwind CSS

Cloud, DevOps & MLOps

AWS · Docker · Git & GitHub · CI/CD · Render · Google Cloud · Microsoft Azure · Kubernetes · Terraform · GitHub Actions · Vercel

Security & compliance

PII detection & anonymization · Role-based access control · Human approval gates · OHADA-compliant processing · SSO & OAuth 2.0 · Encryption in transit & at rest · Audit logging · Data residency · GDPR-aligned design · HIPAA-aware architecture · On-premise & open-weight deployment

See how we use them, service by service

(11) FAQ

Straight answers.

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.

Taking on new projects

Let’sbuild.

Have an AI project in mind? Let’s make it real.

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.

  • Reply within 24 hours
  • NDA before you share anything confidential
  • You own the code, prompts and documentation
  • Hours overlap with US, UK, EU and Gulf teams
Or get an instant AI plan with the Project Scoper
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