Tool Category
Best AI Infrastructure Tools
21 tools compared on real pricing, genuine strengths, and the limitations that only show up after you buy.
The short answer
We track 21 AI Infrastructure tools, 13 of which have a free or freemium tier you can evaluate without a sales call. Our picks are Amazon Bedrock, Browser Use and Databricks Mosaic AI. Each entry below lists real pricing, what it is genuinely good at, and the limitations that only show up after you buy.
Pricing at a glance
| Tool | Pricing model | What it costs |
|---|---|---|
| Amazon Bedrock | paid | Usage-based pricing (per token, or provisioned throughput). Billed through AWS. |
| Browser Use | freemium | The Python library is open source and free to self-host. Cloud Browser Infrastructure is $0.02 per browser-hour, metered by the minute. Cloud Agents bill browser time from $0.02/hour plus model tokens at published per-million rates (their default model lists at $0.24 per million input tokens and $1.44 per million output). Usage-based throughout — no seat fee. |
| Databricks Mosaic AI | enterprise-quoted | Consumption-based, billed within the Databricks platform; enterprise agreements typical. |
| Amazon Bedrock AgentCore | enterprise-quoted | Consumption-based AWS pricing across the AgentCore services, billed alongside the rest of your AWS spend. Model inference is billed separately through Bedrock or your chosen provider. |
| Arcade.dev | freemium | Free $0/month with 2,000 auth events and 2,000 tool calls, community support, no credit card. Team $25/month plus usage at $0.10 per auth event and $0.01 per tool call, with next-business-day email support. Enterprise is custom with annual bundles, cloud, VPC or air-gapped deployment, SSO, RBAC, audit logs, private registry access, and 24/7 SLA. Priced by what agents do, not per seat. |
| Azure OpenAI Service | paid | Usage-based pricing, billed through Azure. Provisioned throughput units available for guaranteed capacity. |
| Baseten | paid | Usage-based pricing tied to the compute your deployed models consume. |
| Composio | freemium | Free tier to get started; paid and enterprise plans are not published on the site and require a demo. |
| E2B | freemium | Hobby is free with $100 one-time usage credits, community support, sessions up to 1 hour, and 20 concurrent sandboxes; no credit card required. Pro is $150/month with customisable sandbox CPU and RAM, sessions up to 24 hours, and 100 concurrent sandboxes, expandable by purchase to 1,100. Enterprise is custom. Compute is billed per second on vCPU, RAM, and storage on top of the plan fee. |
| Exa | freemium | Free trial via the dashboard; usage-based pricing published on the pricing page rather than the homepage. |
| Firecrawl | freemium | Free 1,000 credits/month. Hobby $16/mo for 5,000. Standard $83/mo for 100,000 with 50 concurrent requests. Growth $333/mo for 500,000. Scale $599/mo for 1,000,000. Enterprise custom. Prices billed yearly. Scrape, crawl, map, and monitor cost 1 credit per page; search costs 2 credits per 10 results. |
| Gemini Enterprise Agent Platform (formerly Vertex AI) | paid | Usage-based pricing across model and platform services, billed through Google Cloud. |
| Groq | freemium | Free tier for evaluation. Usage-based paid tiers for production volume. |
| LiteLLM | freemium | Open-source and free to self-host. A paid enterprise edition adds SSO, audit logs, and support. |
| Mem0 | freemium | Open source and free to self-host. A managed platform with a free starting tier is available; paid tier pricing is on the pricing page rather than the homepage. |
| Modal | freemium | Usage-based compute pricing with a recurring free credit allowance for getting started. |
| OpenRouter | paid | Usage-based — you pay per token, billed through OpenRouter on top of provider costs. |
| Prisma AIRS AI Gateway (formerly Portkey) | freemium | Free developer tier. Paid Pro and Enterprise plans add volume, self-hosting, and governance. |
| Temporal | freemium | Open-source and self-hostable for free. Temporal Cloud is a usage-based managed service. |
| Together AI | paid | Usage-based per-token pricing. Dedicated endpoints and fine-tuning are priced separately. |
| Unstructured | freemium | Open-source libraries are free. The managed API and platform are sold on usage-based paid plans. |
All 21 AI Infrastructure tools
Amazon Bedrock
AI InfrastructureAWS's fully managed service for accessing foundation models from multiple providers, with agents, guardrails, and knowledge bases built in.
Good for: Enterprises already standardized on AWS, Teams needing models inside their cloud security perimeter, Regulated organizations with strict compliance needs
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Browser Use
AI InfrastructureGive an agent a natural-language task and it drives a real browser to completion — open source library, or managed cloud browsers.
Good for: Teams automating vendor and supplier portals that have no API, Research and lead-enrichment pipelines that need real page interaction, QA and internal-tooling engineers replacing brittle Selenium scripts...
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Databricks Mosaic AI
AI InfrastructureDatabricks' suite for building, governing, and serving production AI — agents, RAG, fine-tuning, and evaluation — on top of your governed data.
Good for: Enterprises building AI on the Databricks lakehouse, Data teams that want AI governed alongside data, Organizations unifying data and AI on one platform
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Amazon Bedrock AgentCore
AI InfrastructureAWS framework-agnostic runtime for deploying, securing, evaluating, and governing production agents at scale.
Good for: Enterprises already running on AWS, Platform teams standardizing an agent runtime, Organizations needing session isolation and policy enforcement...
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Arcade.dev
AI InfrastructureOne control point for the actions agents take in real systems — user-scoped auth, 8,000+ permission-aware tools, and an audit trail per action.
Good for: Platform teams putting agents into production against real SaaS systems, Security teams that have blocked an agent project over service-account access, Companies building internal agents on Salesforce, Google Workspace, or Slack...
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Azure OpenAI Service
AI InfrastructureMicrosoft Azure's managed access to OpenAI models, deployed within an enterprise Azure tenant with its security and compliance controls.
Good for: Enterprises standardized on Microsoft Azure, Regulated organizations needing data residency, Teams wanting OpenAI models under enterprise governance
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Baseten
AI InfrastructureA platform for deploying and serving machine-learning models in production, with autoscaling, fast cold starts, and GPU infrastructure managed for you.
Good for: Teams deploying custom or fine-tuned models, Enterprises needing dedicated, autoscaling model serving, Orgs that want to avoid managing GPU infrastructure
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Composio
AI InfrastructureGives agents authenticated access to 1,000+ applications, handling OAuth, tool selection, and sandboxed execution so you do not build integrations one at a time.
Good for: Engineering teams building production agents, Developers who need agents to act across many SaaS tools, Teams using MCP clients like Claude Code or Cursor...
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E2B
AI InfrastructureIsolated sandboxes where an AI agent can run the code it just wrote without touching anything you care about.
Good for: Teams shipping code-interpreter or data-analysis agent features, AI product companies that must isolate customer-triggered code execution, Platform engineers building internal agent runtimes...
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Exa
AI InfrastructureA search API built for AI agents rather than humans — structured outputs, token-efficient highlights, and sub-200ms responses.
Good for: Teams building research and enrichment agents, Developers replacing scrape-and-parse pipelines, Coding agents needing current documentation...
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Firecrawl
AI InfrastructureTurns any website into clean, structured markdown or JSON for AI pipelines — scrape, crawl, map, and search with published per-credit pricing.
Good for: Teams building competitor and market monitoring workflows, Lead enrichment and research pipelines, RAG ingestion from public web sources...
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Gemini Enterprise Agent Platform (formerly Vertex AI)
AI InfrastructureGoogle Cloud's unified AI platform — access to Gemini and partner models, plus tools to build, deploy, and govern AI and agents.
Good for: Enterprises already on Google Cloud, Teams wanting Gemini under enterprise governance, Organizations consolidating the AI lifecycle on one platform
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Groq
AI InfrastructureAn inference provider whose custom LPU hardware delivers exceptionally low-latency responses for open-weight models.
Good for: Latency-sensitive applications like voice agents, Real-time and interactive AI experiences, Teams running supported open models
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LiteLLM
AI InfrastructureAn open-source LLM gateway that gives you one consistent API and proxy across 100+ model providers, with key management and spend tracking.
Good for: Teams using multiple model providers, Platform teams centralizing LLM access and spend, Enterprises wanting provider portability
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Mem0
AI InfrastructureA memory layer for AI agents that condenses conversation history into compact, retrievable memories — cutting tokens and latency while keeping context.
Good for: Teams building agents with long-running user relationships, Support and CRM agents that need cross-session context, Developers hitting context-window and token-cost ceilings...
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Modal
AI InfrastructureA serverless cloud for running AI and data workloads — define infrastructure in Python and get on-demand GPUs without managing servers.
Good for: Engineering teams running GPU and batch AI jobs, Teams doing fine-tuning and large-scale inference, Orgs wanting infrastructure defined in code
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OpenRouter
AI InfrastructureA unified API and marketplace that routes requests to hundreds of models from many providers through a single endpoint and bill.
Good for: Teams experimenting across many models, Apps that need breadth of model choice, Developers who want one API and one bill
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Prisma AIRS AI Gateway (formerly Portkey)
AI InfrastructureAn AI gateway that adds routing, caching, observability, and guardrails to LLM traffic through a single control plane.
Good for: Enterprises standardizing LLM access across teams, Platform teams needing routing and failover, Orgs wanting cost and reliability controls in one place
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Temporal
AI InfrastructureA durable execution platform that makes long-running, failure-prone workflows — including AI agents — reliable by default.
Good for: Teams running agents in production, Platform teams building reliable workflow infrastructure, Enterprises with long-running, multi-step AI processes
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Together AI
AI InfrastructureA cloud platform for fast, cost-efficient inference and fine-tuning of open-weight models at production scale.
Good for: Teams running open-weight models in production, Cost-sensitive, high-volume inference workloads, Enterprises fine-tuning private model variants
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Unstructured
AI InfrastructureA platform for turning messy enterprise documents — PDFs, slides, emails, scans — into clean, structured data ready for RAG and LLMs.
Good for: Enterprises building RAG over real document sets, Teams handling PDFs, scans, and complex file types, Data engineers preparing content for LLMs
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Frequently asked
- What are the best ai infrastructure tools?
- We track 21 AI Infrastructure tools, 13 of which have a free or freemium tier you can evaluate without a sales call. Our picks are Amazon Bedrock, Browser Use and Databricks Mosaic AI. Each entry below lists real pricing, what it is genuinely good at, and the limitations that only show up after you buy.
- Are there free AI Infrastructure tools?
- Yes — 13 of the 21 tools we track in this category offer a free or freemium tier: Browser Use, Arcade.dev, Composio, E2B, Exa, Firecrawl, and others. Free tiers vary widely in usefulness, so check the individual entry for what the tier actually includes.
- How much do AI Infrastructure tools cost?
- Pricing varies by model — per seat, per action, per credit, and per outcome are all common in this category. As one reference point, Amazon Bedrock: Usage-based pricing (per token, or provisioned throughput). Billed through AWS.
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