customers / cust_8a2f
Cooper Bishop
MRR
$4,016
Open invoices
2
Last payment
12 days ago
Recent invoices
INV-3041 $4,016.00 ● Open · 12d overdue
INV-3024 $4,016.00 ● Paid
INV-3010 $4,016.00 ● Paid
INV-2997 $3,840.00 ● Paid
The agent runtime for SaaS products
Add an agentic experience
to your product.
Eval-gated. Tenant-scoped. Replayable.
Validate the flow in Studio. Wire it into your SaaS with one SDK call. Ship multi-step, multi-tenant agents your users can actually rely on — without spending a quarter wiring up runtimes, evals, and isolation.
app.acme.com / billing / customers
(your SaaS) Embedded in production at
BrooklineLattice.fiNorthpathCobaltStealth AStealth B
Why Tavora
Agents that reason
by writing code.
Most agent platforms work by function-calling in a loop — the LLM picks a tool, gets a
result, picks again. A Tavora agent's primary reasoning tool is think, which
runs JavaScript in a sandboxed runtime.
The program the LLM writes is the plan.
turn_19f8e2 · think · 1 step · 0.4s
1 // agent: "why is INV-3041 overdue and what should I do?"
2
3 const inv = await stripe.invoice.get("INV-3041");
4 const cust = await crm.customer.get(inv.customer_id);
5
6 if (inv.attempt_count >= 3 && inv.last_failure === "card_declined") {
7 const cardCountry = inv.payment_method.country;
8 const ourProcessor = config.processor.country;
9
10 if (cardCountry !== ourProcessor) {
11 return propose([
12 { action: "switch_processor", to: cardCountry },
13 { action: "email", template: "payment_link", to: cust.email },
14 { action: "notify", channel: "csm", customer: cust.id },
15 ]);
16 }
17 }
2 tools called · 0 evals failed · replayable
- → Compositional in one step
The agent doesn't spend six turns combining six calls. Whatever a JavaScript expression can do — fetch, branch, loop, transform — the agent does in a single thought.
- → Readable as source
When something goes wrong, you read the code the agent ran. Not a sequence of opaque tool calls — actual source. Every wrong plan is one diff away from a fix.
- → Secure by construction
The runtime is a hardened ES5.1 sandbox. No filesystem, no subprocess, no network. Memory and time are capped. Tools are explicitly granted per agent, per tenant.
Same models. Same tools. Different reasoning substrate.
From idea to embedded
Validate. Build. Ship.
01 Validate
Try the flow in Studio.
Chat with your agent in the browser. Give it a task and the tools. The LLM writes JS, runs it in a sandbox, shows you what it did. If it's wrong, you'll see why.
02 Build
Promote when evals pass.
Studio runs the agent against your eval suite on every change. Pass-rate clears your threshold? Promote to a versioned agent. Below threshold? Stay in draft.
03 Ship
One SDK call, multi-tenant.
Drop the snippet into your backend. Pass your customer's org ID — Tavora isolates their data, keys, secrets, evals. Same agent, every tenant.
What you can build
Multi-step agents your users
can actually rely on.
Customer support
Triage, route, and resolve tier-1 tickets
Classify priority, look up the customer in your CRM, draft a reply with citations, escalate to oncall when stuck. Full audit trail per ticket.
Internal ops
Refund eligibility & approval flows
Check the policy matrix, run the calculation, request human approval over a threshold. The same code your humans use, just with the LLM driving.
Onboarding
Guided product setup
Walk a new user through configuring your product. Reads their data, asks clarifying questions, calls your APIs to make changes — with confirmations.
Analytics
Natural-language queries on tenant data
A user asks a question in plain English; the agent writes a SQL query against their tenant schema, executes it, and renders the result inline.
Your first embedded agent in one sprint.
Pro is free for everyone we let in. Drop your details on the waitlist or skip the queue with a 30-minute call.