GTWY
Walkover · Other
GTWY is a managed AI platform that runs agents, RAG, and chatbots for you through a single API. Instead of building your own infrastructure, you connect your data and tools once, and GTWY handles the model calls, memory, retrieval, and routing. The company says more than 500,000 agents run in production on the platform. That's a big number. It tells you this is aimed at teams that want AI features shipping this quarter rather than next year.
About GTWY
What Is GTWY
GTWY is a managed AI gateway platform for teams that would rather buy their AI plumbing than build it. You get one endpoint that fronts several large language models, plus the surrounding pieces most projects need anyway: retrieval over your own documents, LLM memory, function or tool calling, and guardrails. Need agent orchestration across a whole workflow? That's included too. The platform lists OpenAI, Anthropic, and Gemini among its supported model providers, so switching between them doesn't mean rewriting your app.
It's built by Walkover, an Indian software company, and the pitch is blunt. Building RAG from scratch is a multi-month slog. Parsing, chunking, embeddings, vector databases, re-indexing. GTWY bundles that into a managed service and hands you a dashboard for it. The trade-off is the usual one with managed platforms: you move faster and inherit dependency on someone else's road map, pricing, and uptime. If GTWY goes down, your AI features go down with it, no matter how well you built your own stack underneath.
Getting Started
- Sign up at gtwy.ai and start the 14-day trial, which the company says needs no credit card.
- Connect a model provider such as OpenAI, Anthropic, or Gemini, or route calls through the unified API.
- Upload or point GTWY at your data so the RAG engine can index documents, APIs, and knowledge bases.
- Wire up the tools and apps you want your agent to act on, from Slack and Gmail to Salesforce and Notion.
- Build or configure an agent or chatbot, then watch calls, traces, and analytics in the built-in observability dashboard.
Product Information
A quick look at GTWY's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Product teams that need agents or chatbots in production without hiring an infrastructure crew
- Developers who keep rebuilding RAG pipelines
- Companies with strict compliance needs
Tasks
- Shipping a customer-facing chatbot grounded in your own documents
- Automating repetitive workflows across your business apps
- Prototyping a multi-model product
Scenarios
- Early-stage teams validating an AI feature on a tight timeline
- Internal support and ops assistants
- Teams scaling past the prototype stage
Key features
One API for Multiple Models
GTWY's unified API sits in front of OpenAI, Anthropic, Gemini, and other providers, so you call one endpoint and route to whichever model suits the task. The company reports latency under 50ms on that API layer. For teams that want to swap models without a rewrite, that single entry point is the main draw. Switch providers in a config file, not a sprint.
Managed RAG Engine
The RAG engine indexes documents, APIs, and knowledge bases as soon as you connect them, then handles search, semantic recall, and embeddings without you building pipelines. GTWY claims retrieval precision up to 98% and says the system adapts its chunking and retrieval over time. That's a vendor number, not an independent benchmark. Still, the point stands. You skip weeks of engineering.
Agents That Use Tools
This isn't a chatbot that only answers questions. Agents can call tools and take actions across more than 2,000 integrations, covering Slack, Gmail, Google Sheets, HubSpot, Salesforce, Zendesk, Notion, and plenty more. So an agent can file a ticket, update a record, or post an update, not just describe how you might do it.
Chatbot With Memory and Context
GTWY's chatbots come with memory, context, and reasoning built in, and the company says no training loop or extra infrastructure is required. The underlying model supports over 100 languages, which helps if your users aren't all English speakers. You plug in a knowledge base and the assistant answers from it rather than from thin air.
Built-In Observability
Every agent call, RAG search, and API action shows up in real-time logs, traces, analytics, and alerts. That's the part teams usually underestimate until something breaks in production. Not ideal to learn it the hard way. Having it built in means you can see why an answer went wrong instead of guessing.
Enterprise Security and Uptime
GTWY carries SOC 2 Type II and ISO 27001 certifications and says it meets GDPR and CCPA requirements, with data residency and consent controls. It promises 99.99% uptime with automatic failover across every model route and index. For a vendor holding your company data, those guarantees carry real weight in a procurement review. Security teams care about this. A lot.
Pros and cons
Pros
- One API reaches several major model providers, so you avoid vendor lock-in at the model layer.
- The managed RAG engine removes the parsing, chunking, and re-indexing work that usually eats months.
- 2,000+ integrations mean agents can act inside the tools you already use.
- Built-in observability and enterprise certifications suit teams with compliance requirements.
- A 14-day trial with full feature access and no credit card lets you test before paying.
Cons
- Pricing isn't published, so you have to contact sales before you know what you'll spend.
- You're trusting a managed platform for uptime and security; if GTWY has an incident, your AI features go down with it.
- Fine-grained control over chunking and retrieval is limited compared with running your own pipeline.
- Performance figures like 98% precision come from the vendor, not independent testing.
Frequently asked questions
GTWY is a managed AI gateway for running agents, RAG, and chatbots without building the infrastructure yourself. You connect your models, data, and tools, and the platform handles retrieval, memory, routing, and tool calls through one API.
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