Open-source AI middleware

Leverage Kaapi to ship AI features. So that you can focus on impact, not plumbing.

Kaapi enables NGOs to harness LLMs through a unified platform — multi-provider, multimodal, and built around the workflows the social sector actually runs.

10+
AI providers supported
7+
Indian languages, with voice
100%
Open source
Platform

Build Responsible AI for the Social Sector with Kaapi

A unified middleware that gives programme leads and engineers the same building blocks.

One unified API

Talk to OpenAI, Anthropic, Gemini, Sarvam, ElevenLabs and more through a single, consistent endpoint. Switch providers without rewriting your code.

Multimodal by default

Text, image, document, voice. Send a voice note in, get a voice note back. Score student submissions made of text plus prototype photos. The pipeline handles it.

Evaluations built in

Curate a golden dataset, run it across prompts and models side by side, and pick a configuration with evidence instead of gut feel.

Guardrails built in

PII masking, slur and ban lists, topic relevance, gender-bias removal, toxicity detection. Compose them per use case.

Indian languages, including voice

Hindi, Odia, Assamese, Gujarati, Telugu, and more — across text and speech-to-speech. Built specifically for audiences that don't read English.

Console + API

Programme leads use the console. Engineers use the API. Same backend, same AI configs. Move between them as your team grows.

Use cases

What you can build with Kaapi

Three patterns the social sector ships every day — production-ready out of the box.

01

Knowledge-base chatbots

Anchor a chatbot on your own documents — government circulars, training material, FAQs — and ship it to WhatsApp through Glific or your own client. Curate a golden dataset, run evals, lock the configuration, go to production.

  • WhatsApp
  • RAG
  • Glific
02

Speech-to-speech bots in local languages

For lower-literacy or younger audiences, voice is the primary modality. Kaapi supports speech-to-speech with knowledge-base lookup in major Indian languages — as a stitched pipeline you control, or a single chain endpoint with intermediate callbacks.

  • Voice in / out
  • Hindi, Odia, Telugu
  • STS pipeline
03

AI assessment pipelines

Score lakhs of student or beneficiary submissions a year with rubric-based LLM evaluation. Multimodal in (text plus images and PDFs), structured out (per-metric scores, reasoning, student-facing feedback). Compare up to four configurations on the same dataset.

  • Multimodal in
  • Structured out
  • Rubric scoring
Start building

Ship your first AI feature this week.

Console for programme leads. API for engineers. Same backend, same configs.

Our partners

Built for the social sector. Open source.

Kaapi is a Project Tech4Dev initiative.