Voice AI agents for outbound customer calls · one brain, one timeline per customer
IVR menus are broken. So are hold queues. We built the layer that makes Claude do the whole job.
CallFunnel.ai sits on top of Claude, Twilio, Deepgram, Gemini — and every customer data source you already use. Your AI picks up the phone, knows the caller, follows your script, makes the decision a great human rep would, and finishes the loop. One rule book, one timeline, one bill.
Built on Claude · Twilio · Exotel · Deepgram · Gemini · Pipecat. Hosted in India and the US. DPDP / TCPA / GDPR scaffolding from day one.
What CallFunnel.ai actually is
The layer that consolidates Claude and every AI tool you'd need to run a real call centre.
LLMs are easy. Wiring an LLM into a telephone line, a transcription pipeline, a voice synthesiser, your CRM, your knowledge base, your payment system, and a compliance audit trail — without a six-month project — is not. We did it. You get one platform.
One platform on top of every provider
Claude for the brain. Twilio or Exotel for the line. Deepgram for hearing. Gemini for the voice. Slack for approvals, your CRM for context. We orchestrate it all so your team doesn't have to learn six APIs.
Your customer data, live in every call
Shopify, REST endpoints, SQL tunnels, CSV uploads, your own database — Claude reaches in mid-conversation. No nightly sync, no stale copy, no "let me pull up your account." Whatever your data source is, the AI knows the customer the second it picks up.
Built like real SaaS, not a shared script
Every tenant gets its own database, its own Mongo, its own vector store, its own secret vault. Scale to a thousand customers without anyone's data touching anyone else's. Compliance is wiring, not a workshop.
How you use it
Three steps. No flow builders, no node graphs, no DSL.
Write the script in plain English
Brief the AI the way you'd brief a new hire — "Greet by first name. Confirm last order. Offer up to 10% off. Anything bigger needs Slack approval." Claude turns it into a validated rule book.
Plug in your data sources
Connect Shopify, paste a REST URL, mount a SQL tunnel, drop a CSV. The AI reads from your live data mid-call. Same rule book runs across every campaign. Same timeline collects every conversation.
Hit "run". Watch it work.
The AI dials, picks up, talks. Approvals land in Slack with the transcript. Every call, transcript, and outcome rolls into one customer timeline. You sleep — it doesn't.
NewPre-launch simulation
Find the weak points before a real customer does.
Don't launch a campaign blind. Run it against simulated callers first — CallFunnel plays the prospect, objections and all, and puts your agent through the calls it will actually face. You see exactly where it stumbles, and the knowledge bank gets smarter before a single real phone rings.
Simulate the calls
Point your campaign at simulated prospects instead of real ones. The agent runs the full conversation — greeting, objections, the awkward edge cases — with no customer on the line and nothing on your bill.
See where it breaks
Every simulated call is scored against your rule book and prohibitions. The weak points surface as a list: the objection it fumbled, the rule it skipped, the moment it lost the thread.
Iterate the knowledge bank
Turn each weak point into a knowledge-bank rule, then re-run. Watch the score climb. By the time you dial a real customer, the agent has already had the hard conversation a hundred times.
Stop paying salaries. Start paying for outcomes.
Sign up, verify your email, pick a persona, paste a number. The AI dials. The wallet credit is on us.