MEET HYPERSHADOW
AI Copilot for Your SaaS. Ready in Minutes.
Drop HyperShadow into your app and give users instant answers from their live data

What is HyperShadow
Hypershadow is an AI Drop-in AI for your SaaS, that turns your APIs into a secure, branded AI copilot — embedded directly in your product UI.
Users ask plain-English questions. Hypershadow handles the logic, runs live queries, and triggers real actions — no dashboards, no code.
Demo playground
THE PLATFORM
What’s Under the Hood
Function Calling Back-End
Import your Swagger or REST schema.
HyperShadow auto-generates a secure backend that maps your endpoints to AI-executable functions — no rewrites, no lock-in

Swagger / OpenAPI compatible
Multi-LLM
support
On-Prem
ready
No-code UI console
Define prompts, set model usage limits, and fine-tune logic — all through a secure, no-code UI. Built for fast iteration. No backend engineering required.

API
prompt
editor
LLM
settings UI
Usage
limits
controls
Branded Co-pilot UI
Instantly deploy a fully styled, chat-based interface that connects directly to your APIs.
Customize every element and plug into live data streams in real time.

Design
Editor
Test
Playground
Error & logs
Handler
Deploy Kit
Go live in your own VPC, private cloud, or our managed infrastructure. Includes full encryption, audit logs, and enterprise-grade security controls — from day zero.

Docker-Based
Installer
Vault & Secrets
Integration
Network Policy
Friedly
SAFETY FIRST
Production-Ready Security Architecture

Data
Encryption
at Rest
All config and data are encrypted with per-org keys
Fully
Isolated
Workspaces
Each org runs in its own DB and runtime. No cross-tenant access
Zero
Retention
Policy
User-AI interactions are never stored, logged, or cached
Signed
Runtime
Code
Binaries are signed and verified at runtime
IN-HOUSE VS HYPERSHADOW
We built it, so you don’t have to
Here’s how we stacks up against building it from scratch
Hypershadow
Purpose-built for SaaS teams who want results, not a dev project
Annual cloud license
Custom Co-pilot
You'll spend quarters building a copilot we already shipped
Projected R&D cost (excluding model usage, bug time, or team churn)