Serverless AI
Build, deploy, and scale AI features without managing models or infrastructure.
Hedra lets you integrate AI into your product using simple APIs — production-ready from day one.
Building with design partners · Private beta 2026
Why Hedra?
Building AI today means...
You didn't wake up wanting "serverless AI." You woke up wanting to ship features without infrastructure pain.
Managing models and infra
GPU provisioning, model serving, scaling — all the infrastructure pain you didn't sign up for.
Writing tons of glue code
Stitching together APIs, handling retries, managing prompts — building the same patterns over and over.
Worrying about scaling and cost
Will it handle production load? What happens when usage spikes? Unpredictable token bills.
Rebuilding as models change
New models ship every week. Your code shouldn't need a rewrite every time.
Hedra handles that for you.
How It Works
Four steps. Production-ready AI.
Integrate AI like an API, not a research project.
Choose a capability
LLMs, RAG, vision, agents, speech — pick the AI feature you need.
Configure via API or SDK
Simple, opinionated interfaces. No infrastructure decisions, just feature configuration.
Deploy serverlessly
Push to production without managing servers, GPUs, or model ops.
Scale automatically
Built-in auto-scaling, retries, fallbacks, and observability. Production-ready from day one.
Value Proposition
Why developers choose Hedra
Speed to production
Ship AI features in days, not weeks. No infra setup, no GPU provisioning, no model serving headaches.
Abstraction without lock-in
Swap models without rewriting logic. Unified interface across providers. Future-proofing built in.
Opinionated building blocks
Prebuilt AI features (RAG, agents, vision, speech). Standard patterns, not research experiments.
Production-grade by default
Auto-scaling, observability, retries, latency handling, fallbacks. This won't blow up when users show up.
Use Cases
What you can build with Hedra
Vote for what you want us to build next. Your input shapes our roadmap.
Talk to Your Data via Slack
Ask business questions in Slack — get instant answers, charts, and reports from your database
Product teams, Operations, Growth
View example→AI-powered search (RAG)
Add semantic search to your product in hours
SaaS apps, internal tools
View example→Code from your phone
Build and deploy serverless apps using natural language on mobile
Developers, Founders
View example→Document processing
Extract, summarize, and classify documents at scale
Enterprise ops, compliance
Coming soonFAQ
Frequently asked questions
LangChain helps you build logic. Hedra helps you run it in production. We're less framework, more platform. Less infra, more outcomes.
We provide a unified interface across major providers (OpenAI, Anthropic, open-source models). You can swap models without rewriting your code.
No. Hedra can run entirely within your VPC or on-premises. Your data, prompts, and results stay in your security perimeter.
We're finalizing pricing details with our design partners. Reach out to discuss your use case and we'll work with you on a fair model.
We're working with design partners to validate the platform before public launch. Want to shape it with us? Join the waitlist.
We're building this with early adopters. If you have specific needs, we want to hear them. We're flexible and ready to adapt.
Join the Waitlist
We're working with design partners to shape the platform. Want to be part of it?