Open-source memory platform that builds knowledge graphs so agents recall earlier work.
RecommendedAI poweredFree plan
Starts at
On request
AI Tools
Best AI infrastructure tools in India (2026)
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.
24 products compared4 made in India13 with a free plan
Narrow by:Free plan13
Top rated here
1Cognee
Open-source memory platform that builds knowledge graphs so agents recall earlier work.
On request
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.
On request
LangChain
Framework and platform for LLM apps.
Free plan
View
AI gateway and observability built in Bengaluru.
AI poweredNewMade in India
Starts at
Free plan
Indian cloud provider with GPUs, listed on NSE.
Made in India
Starts at
₹600/mo
Serverless GPU inference platform for deploying machine learning models with pay-per-use pricing.
Made in IndiaFree plan
Starts at
On request
Framework and platform for LLM apps.
AI poweredNewFree plan
Starts at
Free plan
Web data API to search, scrape and crawl sites into LLM-ready formats.
AI poweredFree plan
Starts at
On request
AI search platform for vector, text and structured retrieval, recommendations and personalisation at scale.
AI poweredFree plan
Starts at
On request
GPU cloud.
AI powered
Starts at
Pay as you go
Managed vector database.
Free plan
Starts at
Free plan
TypeScript framework and cloud for building, deploying and observing AI agents.
AI poweredFree plan
Starts at
On request
Open-source vector database.
Free planOpen source
Starts at
Free plan
Vector search engine.
Free plan
Starts at
Free plan
Context engine that gives agents, assistants and apps retrieval over company data.
AI poweredFree plan
Starts at
On request
Platform for building and operating LLM and RAG agent applications, built on Haystack.
AI poweredFree plan
Starts at
On request
GPU cloud.
AI poweredNew
Starts at
Pay as you go
Ray-based AI compute.
AI powered
Starts at
Pay as you go
Model inference platform.
AI powered
Starts at
Pay as you go
ML and LLM deployment platform built in Bengaluru.
AI poweredMade in India
Starts at
On request
Platform for building stateful AI agents with persistent memory that learn across sessions.
AI poweredFree plan
Starts at
On request
Web access layer for AI agents with search, extract, map and crawl endpoints.
RecommendedAI powered
Starts at
On request
Sandbox infrastructure for running AI-generated code and agent workloads securely.
RecommendedAI powered
Starts at
On request
AI platform providing inference, fine-tuning and data-centre hardware for agentic AI workloads.
AI powered
Starts at
On request
Marketplace for renting cloud GPUs for AI, machine learning and rendering workloads.
AI powered
Starts at
On request
Serverless AI developer platform for building agents and memory-backed pipes from one API.
AI powered
Starts at
On request
Ordered by App Advisor rating. Nothing here is paid placement — see how we rate software.
How to choose ai infrastructure tools
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.
What to look for
- ✓ Model hosting and inference APIs
- ✓ Model gateways and routing across providers
- ✓ Vector databases and embeddings
- ✓ RAG pipelines and retrieval tooling
- ✓ Evaluation, tracing and observability
- ✓ GPU compute on demand
- ✓ Guardrails and PII handling
- ✓ Usage-based pricing per token, request or GPU-hour
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AI infrastructure tools — frequently asked questions
What counts as AI infrastructure?+
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.
Do I need a vector database?+
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.
Is Indian GPU capacity available?+
Yes. Several Indian providers offer GPU compute and inference with local data residency, which matters for regulated workloads that cannot leave the country.
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