Mettara.ai
Embedded AI operators for SaaS products
Letuserscompletecomplexworkflowswithasinglerequest.
Mettara embeds AI operators directly in your product, so users can ask for outcomes and your platform executes through existing APIs, permissions, and audit controls.
See a tailored walkthrough for your product and team.
Powerful products create onboarding debt.
The deeper your feature set, the wider the gap between what your product can do and what your customers actually use.
- New users take weeks to reach value because learning your UI competes with doing their job.
- High-value features stay undiscovered because they require too many steps to reach.
- Support tickets pile up for tasks that are straightforward once you know where to look.
- Onboarding docs and training videos help at signup, but they do not follow users into their daily workflows.
What Mettara Does
A conversational layer your customers use. An operator layer you control.
Mettara sits inside your product and turns natural language requests into governed API execution, without rebuilding your UI or changing your backend.
Outcomes on first ask
Users describe what they need and the operator executes it through your existing API. No menu hunting, no multi-step flows, no training required.
Your rules, enforced every time
Operators execute as the authenticated user, through your permissions and audit trails. What a user cannot do in your UI, they cannot do through Mettara.
Native to your product
Drop Mettara into your existing app shell. It inherits your branding, respects your permission model, and extends your product without a replatform.
The Architech Engine
A cognitive architecture, not a prompt wrapper
Every operator runs on an eight-stage reasoning pipeline inspired by how effective thinking actually works, from perception to action to memory consolidation.
Operators that reason, not just respond
Routine requests resolve instantly on fast, lightweight models. The moment a task requires deeper reasoning or multi-step execution, the system automatically escalates. Speed where it's safe, depth where it matters.
Memory that learns your business
Operators build persistent memory that strengthens with use and fades with neglect. Frequently useful knowledge becomes more durable. Stale information decays naturally. The system self-organizes around what actually matters.
System Configuration
Governed AI, tailored to your product
Define how the system behaves using clear, auditable configuration. No heavy ML work required, just explicit rules, context, and guardrails.
Knowledge, Policies, and Context
The system's domain knowledge and operational boundaries are defined in human-readable files.
- Set behavior, tone, and escalation rules with clear policy statements.
- Provide proprietary knowledge, workflow details, and product-specific terminology.
- Update behavior instantly by editing configuration and knowledge files.
Adaptive Experiences
Operators assemble focused context for each request, self-monitor their own reasoning, and handle long-running work without blocking your users.
- Working memory loads only what's relevant. Recent context stays vivid, older context compresses to essentials.
- Built-in loop detection and self-correction prevent stuck operators from burning cycles.
- Long-running tasks promote to background processing. Results are delivered when ready, without blocking.
How it works
Register your API actions
Describe what each endpoint does in a plain JSON schema. Mettara handles intent recognition, parameter extraction, and multi-step execution planning.
Set the guardrails
Define policies, escalation rules, and operational boundaries in human-readable configuration. Operators enforce them on every request, no exceptions.
Users ask, operators deliver
Customers describe what they need in natural language. The operator loads context, reasons through the approach, executes via your APIs, and delivers the outcome.
In your session, we map operators to your highest-value workflows.
- Identify onboarding, support, and execution bottlenecks that block adoption.
- Map user requests to safe operator actions against your existing APIs.
- Leave with a rollout plan, guardrails, and implementation sequence.
No generic deck. We use your real product workflow as the source of truth.
Choose your next step
Book a live session tailored to your product and workflows.
Enterprise Security & Audit
Native execution with full auditability.
Mettara delegates actions through your existing application logic. Every conversational request is executed through your established authentication, authorization, and audit pipelines.
Full User Context Mapping
The system is mapped 1:1 to the authenticated end-user. An action requested by "Jane Doe" is executed as Jane Doe, preserving all original permission scopes and audit trails within your system.
Encrypted & Stateless
All necessary API credentials and data are encrypted both in transit (TLS) and at rest (AES-256). Payloads are signed with HMAC-SHA256 using a dedicated API key.
Metadata-rich Tool Calls
You receive a full audit trail of data:
- Calling AI identifier
- Browser/OS context
- Conversation ID
- Platform
- Sender identity
so every request stays auditable and traceable.
Scoped Credential Isolation
Credentials are stored in a dedicated secrets manager and scoped to five isolation levels (AI, platform, group, user, and default) so each integration is locked to exactly the scope it needs. Credential values are never returned in API responses.
Serial Write Execution
Write operations are forced to execute one at a time. Read operations run concurrently, but any action that modifies state is serialized to prevent race conditions and ensure predictable outcomes.
{
"type": "object",
"required": [
"list_accounts"
],
"properties": {
"list_accounts": {
"type": "string",
"description": "The ID of the list to get accounts from."
}
},
"additionalProperties": false
}
// Mettara uses this plain-text mapping to determine
// *how* to call your platform when a user requests an action.
Extensibility
A growing library of tools
Mettara connects to common systems out of the box, then extends into your custom APIs and workflows.
Google Docs
Generate reports and draft documents directly from chat.
Example ask
"Generate the Q3 onboarding report for Acme Corp."
Google Sheets
Read and write data for live analysis and tracking.
Example ask
"Pull the accounts where usage dropped more than 20% this month."
Trello
Create cards, move columns, and manage projects.
Example ask
"Move all blocked cards in the Q4 board to In Review."
Stripe
Process refunds, check subscriptions, and manage billing.
Example ask
"Check if Widgets Inc. is on an active plan and when it renews."
Common questions
Answered upfront, so you can evaluate quickly.
What does integration actually involve?
+How do we control what the AI can do?
+Does our product UI need to change?
+How do operators handle complex, multi-step tasks?
+How quickly do customers see a difference?
+Ship embedded AI operators without replatforming your SaaS.
Increase adoption, reduce support load, and keep execution inside your existing API and governance model.
We tailor the session to your actual workflows and stack.