AI gateway putting every model, agent and MCP behind one API and login
Best AI Development Platform
AI Development Platform is a category of tools that provide platforms and infrastructure for building, training, and deploying AI models and applications. They are used by developers, data scientists, and businesses building custom AI into their products.
More about AI Development Platform
On this page you can browse and compare the best AI Development Platform options side by side by features, pricing, integrations, and verified user reviews. Use the list below to shortlist the tools that best match your workflow, requirements, and budget.
AI Development Platform Compared
Compare the 10 most relevant AI Development Platform options on price, free trial and deployment.
| Product | Starting price | Free trial | Free plan | API | Deployment |
|---|---|---|---|---|---|
 Fal AI Generative media platform for developers | $1.89 | ✓ | ✓ | ✓ | Cloud Based |
 MLflow Open source platform for managing the machine learning and LLM… | Free | – | ✓ | ✓ | Cloud Based, On Premises, Hybrid |
 Weights & Biases AI developer platform for experiment tracking, evaluation, and collaboration | $60/month | ✓ | ✓ | ✓ | Cloud Based, On Premises, Hybrid |
 Together AI AI Acceleration Cloud for inference, fine-tuning, and GPU clusters | From $0.03/1M tokens | – | – | ✓ | Cloud Based |
 Google Vertex AI Google Cloud's unified platform for building, tuning, and deploying AI… | $0.25 / $1.50 per 1M tokens (text) | ✓ | – | ✓ | Cloud Based |
 Azure AI Foundry Microsoft's unified platform for building and governing enterprise AI agents | Free | – | ✓ | ✓ | Cloud Based |
 LangChain Open-source framework and platform for building, debugging, and deploying LLM… | $39 | – | ✓ | ✓ | Cloud Based, Hybrid, On Premises |
 Databricks Mosaic AI Databricks' unified platform for building and deploying enterprise AI agents… | Custom | ✓ | ✓ | ✓ | Cloud Based |
 NVIDIA AI Enterprise Enterprise-grade software platform for developing and deploying production AI at… | $4,500/GPU | ✓ | – | ✓ | Cloud Based, On Premises, Hybrid |
 Modal Serverless cloud platform for running Python, AI, and GPU workloads | $250 | – | ✓ | ✓ | Cloud Based |
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21 Best AI Development Platform Options
Showing 41 - 21 of 21 products
LiteLLM is an AI gateway for platform teams, sitting between an organisation's developers and the model providers it buys from. It exposes one OpenAI-compatible API covering more than 140 providers and 1,800 models, so an application can switch models through configuration rather than a code change. Access is handled through a single login with single sign-on, scoped by team, project or application, which is what lets a platform team open model access to the whole company without becoming the approval bottleneck.
The control layer is the reason most buyers reach for a gateway. Usage and spend are tracked per key, user, team, organisation, tool, agent and MCP server, and every request can be attributed for enterprise chargeback. Hard budgets are set per key, team, organisation and model with daily and monthly resets, and requests stop at the cap rather than being flagged after the fact. Rate limits, leaked-key protection, model access control, guardrails and an audit log on every request round out the governance side.
Cost optimisation runs alongside. Load balancing spreads traffic across providers, regions and keys, lowest-cost routing picks the cheapest deployment able to serve a request, and Auto Routing sends simple prompts to cheaper models while reserving stronger ones for harder work. Response and semantic caching through Redis, S3 or GCS avoids paying twice for the same answer, and prompt compression reduces tokens sent. Deployment is by official Helm chart or Terraform module, and the open-source gateway can be self-hosted in your own cloud or fully air-gapped.
Read LiteLLM Reviews Explore additional details
Explore various Keka features, compare the pricing plans, and unlock the potential of seamless operations by selecting the right software for your business.
Features
View all LiteLLM Features- One OpenAI-compatible API covering more than 140 providers and 1,800 models
- Model swapping through configuration rather than application code changes
- Single sign-on with access scoped by team, project or application
- Day-zero support for newly released models
- Agents and MCP servers reachable through the same gateway as models
- Internal, fine-tuned and self-hosted models served behind the same key
- Usage and spend tracked per key, user, team, organisation, tool, agent and MCP
- Enterprise chargeback attributing every request to a business unit
- Hard budgets per key, team, organisation and model with daily and monthly resets
- Rate limits and leaked-key protection against runaway or compromised keys
- Model access control, guardrails and an audit log on every request
- Load balancing across providers, regions and keys
- Lowest-cost routing to the cheapest deployment able to serve a request
- Auto Routing sending simple prompts to cheaper models and hard ones to stronger models
- Response and semantic caching through Redis, S3 or GCS
- Prompt compression to reduce tokens sent per request
- Deployment by official Helm chart or Terraform module
- Self-hosting in your own cloud or fully air-gapped
Pricing
LiteLLM Caters to
- StartUps
- SMEs
- Agencies
- Enterprises
AI Development Platform Buyer's Guide
Buyers comparing AI Development Platform usually find the shortlist separates on workflow fit and total cost rather than headline capability. Read on for the capabilities that matter, who tends to buy, how pricing works, and how to test properly.
What is AI Development Platform?
AI Development Platform helps teams keep the records, scheduling and billing behind ai development work in a single place instead of scattered files. Most of the benefit comes from holding one current record rather than several partial ones kept by different people. Most products handle the easy cases; the useful test is what happens at the edges of your process.
Key features to look for in AI Development Platform
The right feature set depends on your situation, but capable AI Development Platform options generally cover the following.
- Records and profiles built around ai development work
- Scheduling and capacity planning
- Workflow stages matching how ai development operations actually run
- Invoicing and payment handling
- Document storage and compliance records
- Customer and contact communication
- Reporting on the measures that matter in ai development work
- Role based access for different staff types
Benefits of using AI Development Platform
The practical benefits of AI Development Platform suited to your process generally include:
- Workflows that match ai development operations instead of a generic process
- Less adaptation of general purpose software to a specialist job
- Records and terminology that fit the field
- Compliance and record keeping handled in one place
- Reporting on measures that are actually relevant
Who uses AI Development Platform?
AI Development Platform is used by owners and managers in ai development work, administrative staff, and the frontline teams delivering it. Scale matters less than process fit, since a product built around a different workflow will fight you regardless of size.
How to choose the right AI Development Platform
Worth weighing before you commit to any AI Development Platform option:
- How closely the workflow matches your own ai development operation
- Whether sector specific compliance requirements are covered
- The size of operation the product is genuinely designed for
- Data migration from whatever you use today
- How responsive the vendor is to requests specific to this field
Run a short trial on actual work with the actual users. Demos are built to succeed; your own cases are not.
How much does AI Development Platform cost?
Expect per user or per location monthly pricing, banded by operation size. Costs commonly run higher than general software, which is what a specialist market usually looks like. Price it against next year’s volume, and verify which features you need are actually included at that tier.
FAQs of AI Development Platform
AI Development Platform covers the operational side of ai development work, holding records, scheduling and invoicing together instead of across separate tools.
Generic software leaves you building the ai development specifics yourself, whereas AI Development Platform ships with them at a higher price.
Fit depends on the scale AI Development Platform was designed for, so check whether the vendor’s typical ai development customer resembles your own operation.
Migration support varies across AI Development Platform, so ask what the vendor imports as standard from your current ai development records and what needs manual work.
AI Development Platform is usually billed per seat or per site each month, and specialist ai development tooling generally prices above generic software.
Test AI Development Platform on genuine ai development tasks with the people who will actually use it rather than on a scripted scenario.