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End-to-end AI solutions agency

End-to-end AI solutions — from idea to intelligent product.

We design, build, integrate, and deploy AI-powered systems including LLM apps, RAG platforms, AI agents, OCR pipelines, computer vision systems, automation tools, and custom AI products.

Custom-built · or deployed from proven AI accelerators

Trusted by real teams shipping AI in production

Eduarise logoNawadiraat logoTecnezo logo
40+AI systems shipped to production
10+Years building enterprise software
7Reusable AI accelerators
12+Industries served worldwide
03Pre-made AI Solutions

Start from proven AI accelerators

Production-ready AI products, customized to your workflow and deployed faster. Start from an accelerator, then extend it into a fully custom solution.

Explore AI Products
2–4 weeks to pilot

Multilingual Voice AI Agent

Real phone calls answered, understood, and resolved — in any language.

A production real-time voice agent over telephony (Telnyx): streaming speech-to-text, an LLM, and low-latency streaming text-to-speech, grounded in your knowledge base. It recognizes callers and remembers them across calls, runs tools (like emailing a booking confirmation), speaks multiple languages, and can run fully on-premise.

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3–6 weeks to pilot

Private RAG Knowledge Platform

Trustworthy, cited answers grounded in your own data.

A private retrieval-augmented platform that turns your documents, spreadsheets and live databases into a cited, natural-language assistant. Hybrid retrieval, an agentic router (RAG / NL-to-SQL / web), provider-agnostic LLMs, and governed role-based access, deployable fully on-premise and air-gapped.

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2–5 weeks to pilot

Document Intelligence & Extraction

Any document in — even messy ones — structured data out.

Our own extraction technique fuses an open-source vision-language model, PaddleOCR and classical computer vision to turn receipts, invoices, cheques, forms and archives into clean structured data, even crumpled, photographed or handwritten. We also train custom OCR for hard, low-resource scripts. It runs entirely on open-source models, on-prem, with no per-page API cost.

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3–6 weeks to pilot

AI Agents & Automation

Multi-step agents that plan, use tools, and get real work done.

Reusable agent orchestration (planning, tool use, memory and guardrails) built on production patterns: LangGraph state machines routing between retrieval, SQL, web and custom tools. Adapted to your processes and connected to your systems.

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2–4 weeks to pilot

AI Tutor & Companion AI

A safe, on-brand AI assistant for learners and users.

A streamed, low-latency AI assistant with a hardened, on-brand persona and an explicit prompt-injection defence, proven in a children's education product (built on Llama 3.3 70B via Groq). Scoped, safe for sensitive audiences, and embeddable into your web or mobile app.

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3–5 weeks to pilot

Engagement & Video Analytics

Understand attention and engagement from video, live.

Real-time engagement and behaviour analytics from ordinary video. It fuses facial emotion, head pose and body pose into a single read, logged per person and session. Custom-trained on Amazon SageMaker and proven in peer-reviewed research; extends to attention, proctoring and safety monitoring.

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04How we work

From strategy to scale, in four moves

A clear, proof-driven path from idea to a deployed, scalable AI product.

01

AI Strategy

We map your workflow, data, and goals, then define the highest-leverage AI use case and a clear path to production.

02

Design & Architecture

UX, model selection, and system architecture decided together, so the product scales and stays cost-aware from day one.

03

Build & Integrate

We build the models, pipelines, and interfaces, and integrate them into your existing stack with guardrails and evaluation.

04

Deploy & Scale

Production deployment on cloud, private, or on-prem infrastructure, with monitoring, DevOps, and a plan to scale.

05AI Stack

A modern, model-agnostic AI stack

We choose the right tools for the job: frontier or open-weight models, the right retrieval layer, and production-grade infrastructure.

Models & LLMs

  • Claude
  • GPT
  • Llama
  • Mistral
  • Gemini
  • Open-weight fine-tunes

Retrieval & Data

  • pgvector
  • Pinecone
  • Weaviate
  • Elasticsearch
  • LangChain
  • LlamaIndex

Vision & OCR

  • PyTorch
  • YOLO
  • Detectron2
  • Tesseract
  • PaddleOCR
  • OpenCV

Backend & APIs

  • Python / FastAPI
  • Node.js
  • Go
  • PostgreSQL
  • Redis
  • gRPC

Frontend & Dashboards

  • Next.js
  • React
  • TypeScript
  • Tailwind
  • D3
  • WebSockets

Cloud & DevOps

  • AWS
  • GCP
  • Azure
  • Docker
  • Kubernetes
  • Terraform
07Testimonials

Trusted by teams shipping real AI

Rapit Labs built our entire learning platform: courses, payments, and the verifiable certificates that set us apart. A student finishes a bootcamp and walks away with a credential any school can validate by scanning a code. They shipped it fast, and it just works.
Founder & CEOTecnezo
They understood the product, not just the model. The team shipped a polished AR/AI learning experience that our users actually love, fast.
Founder & CEOEduarise
Multilingual OCR at this accuracy seemed out of reach. Rapit Labs delivered a search platform across our archives that finally makes our collection usable.
Program DirectorNawadiraat
FAQ

Frequently asked questions

Everything you need to know about working with Rapit Labs.

End-to-end AI solutions: LLM apps, RAG platforms, AI agents, OCR and document intelligence pipelines, computer vision systems, voice agents, automation, and AI dashboards. We handle strategy, UX, models, integration, deployment, and scaling.

Custom solutions are built fully around your workflow. AI accelerators are our production-ready products (Voice AI Agent, Document Intelligence, RAG Knowledge Platform, and more) that we customize and deploy faster. Many clients start from an accelerator, then extend it.

Yes. We deploy to your cloud, a private VPC, or fully on-premise when data residency, security, or compliance require it, so sensitive data never leaves your environment.

Custom builds typically reach a working pilot in weeks, not quarters. Accelerator-based deployments are faster still, often a 2–6 week pilot depending on integrations and data.

Yes. You own the source code and any models we train or fine-tune for you. No lock-in to proprietary black boxes.

Get started

Let's build your AI advantage.

Book a strategy call and walk away with a clear, technical plan, whether you build custom or start from an accelerator.