For Product Teams
Add AI features to your product in weeks, not months
Amodal helps product teams embed white-labeled AI assistants, search, and workflow automation directly into their product without rebuilding their infrastructure.
Built for product teams shipping AI into real customer environments.
What you can ship with Amodal
Three of the most common embedded AI features product teams ship with Amodal.
In-product AI assistants
Give users a branded AI assistant that answers questions, guides workflows, and works inside your existing product experience.
- Acme Corp · 42d
- Hexa Labs · 33d
- BlueWave · 31d
Natural language search
Let users search across product data, documents, or workflows using plain language instead of filters or manual navigation.
- Update 14 contact records
- Send 8 follow-up emails
- Create 3 renewal tasks
Workflow automation
Turn user questions or requests into actions across your product, APIs, and connected systems.
Why teams choose Amodal instead of building it themselves
Whether you're shipping customer-facing AI assistants, support copilots, AI-powered search, or workflow automation, Amodal hands you the platform so your team can focus on the product experience.
In-House
Building AI in-house
- Months of infrastructure and orchestration work
- Custom tenant logic, permissions, and security handling
- Ongoing LLM, retrieval, and workflow maintenance
- Requires dedicated engineering or ML resources
With Amodal
Building with Amodal
- Launch embedded AI features in weeks
- White-labeled experience inside your product
- Multi-tenant architecture built for SaaS
- Production-ready runtime layer for AI features
How it works
From AI roadmap to embedded product experience in five steps.
- 01
Connect
your product data, docs, or APIs
- 02
Define
what your AI feature should do
- 03
Embed
the experience into your UI
- 04
Test
with real workflows and users
- 05
Launch
and scale across customers
Built for production SaaS, not just a chatbot prototype
The pieces product teams need to ship customer-facing AI assistants, support copilots, AI-powered search, and vertical AI features inside real software products.
White-Label
Your brand, never ours
Customers see your logo, your colors, your voice. The assistant introduces itself by your product name. No “Powered by” tag, no third-party badge. Customers ship feedback to you, not us.
Pipeline value is up 12% this week. Top mover: Acme Corp.
Inventory low on 4 SKUs. Want me to draft replenishment POs?
Multi-Tenant
Multi-tenant from day one
You don't build the noisy-neighbor protection, the per-customer credential vault, or the usage meter. Every customer gets isolated knowledge, isolated history, and isolated cost tracking — out of the box.
// Per-tenant scope
tenant: "acme-corp" credentials: encrypted_per_tenant knowledge: scoped_per_tenant cost: metered_per_tenant
One deployment serves them all. Data never crosses.
Production Trust
Guardrails your security team will sign off on
Reads stream automatically. Writes confirm with full context. Bulk actions itemize. Every session has rate limits, tool-call ceilings, and timeouts. Every session is replayable. The audit trail is built before your security team asks for one.
Confirm before write
- Update 14 contact records in HubSpot
- Send sequence to 8 owners
- Create 3 follow-up tasks
session-7142 · full replay · rate limit 9/10
What makes Amodal different
More than a wrapper around an LLM
Amodal isn't a chatbot widget or a generic AI API. It's designed for product teams that need AI features to work inside their actual product — with customer-specific context, permissions, workflows, and branding — so the assistant feels like part of your product, not a bolt-on tool.
- Embedded directly into your product
- White-labeled to match your brand
- Built for multi-tenant SaaS environments
- Connects to product data, APIs, and workflows
- Designed for production use, not just prototypes
Book a demo
Ready to ship your first AI feature?
See how Amodal can help your team move from AI roadmap to embedded product experience faster.
- 30-minute working session with our team
- Live demo against your API surface
- Architecture review and rollout plan
- No commitment, no obligation