AI gateway and observability built in Bengaluru.
Starts at
Free plan
Free, independent software advice for Indian businesses
For software companies: reach Indian businesses ready to buy
AI Tools
AI infrastructure is what teams building AI features actually buy: inference hosting, model gateways, vector databases, evaluation and observability. The market moves faster than any other category here, and the sensible buying posture reflects that — prefer tools you can swap, avoid deep lock-in to a single model provider, and instrument quality before you scale usage.
Top rated here
1
Cognee
Open-source memory platform that builds knowledge graphs so agents recall earlier work.
Free plan

Portkey
AI gateway and observability built in Bengaluru.
Free plan
E2E Networks
Indian cloud provider with GPUs, listed on NSE.
₹600/mo

Inferless
Serverless GPU inference platform for deploying machine learning models with pay-per-use pricing.
Free plan

LangChain
Framework and platform for LLM apps.
Free plan
AI gateway and observability built in Bengaluru.
Starts at
Free plan
Indian cloud provider with GPUs, listed on NSE.
Starts at
₹600/mo
Serverless GPU inference platform for deploying machine learning models with pay-per-use pricing.
Starts at
Free plan
ML and LLM deployment platform built in Bengaluru.
Starts at
On request
Open-source memory platform that builds knowledge graphs so agents recall earlier work.
Starts at
Free plan
Framework and platform for LLM apps.
Starts at
Free plan
AI governance and monitoring platform to measure, evaluate and secure enterprise machine learning and LLM applications
Starts at
Free plan
Headless browser infrastructure for AI agents and automation, running scalable cloud browsers through an API
Starts at
Free plan
Web data API to search, scrape and crawl sites into LLM-ready formats.
Starts at
Free plan
AI search platform for vector, text and structured retrieval, recommendations and personalisation at scale.
Starts at
Free plan
AI observability platform to monitor, evaluate and govern machine learning models and LLM applications
Starts at
Free plan
GPU cloud.
Starts at
Pay as you go
Secure cloud sandboxes for AI agents to run code, browse and use tools in isolated environments
Starts at
Free plan
Managed vector database.
Starts at
Free plan
TypeScript framework and cloud for building, deploying and observing AI agents.
Starts at
Free plan
Open-source vector database.
Starts at
Free plan
Vector search engine.
Starts at
Free plan
Context engine that gives agents, assistants and apps retrieval over company data.
Starts at
Free plan
Memory, skills and audit layer for AI agents available through a REST API and MCP
Starts at
Free plan
Inference cloud for deploying and scaling open-weight AI models in production with fast serving
Starts at
Free plan
Open source CLI that masks secrets and personal data before coding agents send them
Starts at
Free
AI evaluation and observability platform to test, monitor and protect generative AI apps and agents
Starts at
Free plan
Platform for building and operating LLM and RAG agent applications, built on Haystack.
Starts at
Free plan
Agent gateway that budgets, routes and compresses tokens for coding agents, with team cost tracking
Starts at
Free plan
GPU cloud.
Starts at
Pay as you go
Ray-based AI compute.
Starts at
Pay as you go
Model inference platform.
Starts at
Pay as you go
LLM inference with per-call receipts, failure reports and service credits for eligible failures
Starts at
Free plan
Distributed data caching layer that speeds up large-scale AI and analytics workloads
Starts at
Free plan
Gateway that sits between AI agents and the models they pay for to cut repeated and oversized calls
Starts at
Free plan
AI cloud offering model APIs, agent sandboxes and GPU instances for developers and startups
Starts at
Free plan
AI governance and implementation platform for building, integrating and securing AI systems
Starts at
Free plan
Platform for building stateful AI agents with persistent memory that learn across sessions.
Starts at
Free plan
Shared workspace where AI agents and coding agents collaborate with human oversight
Starts at
Free plan
Shared memory that Claude, ChatGPT, Cursor and your team all read and write
Starts at
Free plan
Identity, permissions and audit controls for enterprise AI agents
Starts at
Free plan
AI model router that sends each request to the best LLM to cut costs while keeping output quality
Starts at
Free plan
Open-source cloud browser API for AI agents and web automation at scale
Starts at
Free plan
Data API for AI agents: clean product, competitor and market data from Amazon and TikTok Shop
Starts at
Free plan
Web access layer for AI agents with search, extract, map and crawl endpoints.
Starts at
Paid plans
Context and memory layer that gives AI agents business data, documents and history
Starts at
Free plan
Sandbox infrastructure for running AI-generated code and agent workloads securely.
Starts at
Paid plans
Serverless inference platform for running open-source AI models through an API without managing GPUs
Starts at
Paid plans
AI platform providing inference, fine-tuning and data-centre hardware for agentic AI workloads.
Starts at
On request
Marketplace for renting cloud GPUs for AI, machine learning and rendering workloads.
Starts at
Paid plans
Hosted open-model APIs for agents, with cached-input pricing and coding plans from $10 a month
Starts at
Paid plans
Phone numbers, SMS, WhatsApp and voice for AI agents through one API and MCP server
Starts at
Paid plans
Serverless AI developer platform for building agents and memory-backed pipes from one API.
Starts at
Paid plans
Ordered by App Advisor rating. Nothing here is paid placement — see how we rate software.
Keep the model provider swappable. A gateway or abstraction layer costs little now and saves a rewrite when pricing or quality shifts.
Instrument evaluation before you scale. Teams that ship without tracing cannot tell whether a prompt change helped or hurt.
Model the unit economics at real volume. Token pricing that looks trivial in testing becomes the dominant cost at production traffic.
Schedule a demo
Everything between your application and the model: inference hosting, gateways and routing, vector databases, retrieval pipelines, evaluation and observability, guardrails, and the GPU compute underneath.
Only if you are doing retrieval over your own content at meaningful scale. Small document sets work fine inside an existing database with a vector extension; dedicated vector stores earn their place at larger volumes or with heavy filtering.
Yes. Several Indian providers offer GPU compute and inference with local data residency, which matters for regulated workloads that cannot leave the country.
Need help choosing?
Tell us about your business and we send a shortlist with honest pros and cons, then arrange demos. Free — the vendor invoices you directly.