The model can wait.
Transcript
- 0:01
In a world where every voice agent waits for a model... one engine decided not to wait.
- 0:11
Rules first. Model last.
- 0:13
Seven layers. Zero hesitation.
- 0:16
Two milliseconds a turn.
- 0:18
Eleven of thirteen. No model in the room.
- 0:21
Same voice. Half the bill.
- 0:23
Every call. Every time.
- 0:26
They said a voice agent has to think... before it speaks.
- 0:33
VARTA already knows.
- 0:38
A million calls a month.
- 0:41
Eighty-eight lakh saved. Every month.
- 0:46
Same quality. Better performance.
- 0:49
VARTA. Now answering.
About this film
The VARTA teaser. Every call, every second, someone is waiting while a voice agent asks a language model what to say. VARTA answers first with its own layers: rules decide in milliseconds, eleven of thirteen turns in the Bank KYC replay never reach a model, and repeated lines play from cache in the same voice. Savings are modelled with the site’s own cost estimator.
0:56 · · English captions
More films
Explainer · 4 min
Train once. Run a million calls.
DAKSH uses a language model once per workflow, the way a programmer uses a compiler. VARTA runs every call on seven layers of code, asks the model last, and never lets it invent a route.
Walkthrough · 4 min
Configured once. Decided every turn.
Step by step through a bank KYC workflow: the configuration DAKSH writes at each step, and how it lets VARTA decide the call inside the engine instead of asking a language model.
Head to head · 1 min
Same call. Three agents.
One caller, one request, three voice agents: a cascaded pipeline, a speech-to-speech model and VARTA. Watch which one waits, which one mishears the address, and which one confirms it by rule.
Inside the engine · 47 s
One sentence through the VARTA engine
Follow one caller sentence through VARTA layer by layer: reflex, recognition and rules first, an LLM only when nothing else can answer, every step on one visible ledger.
For enterprise · 1 min
Why VARTA works for enterprise
Fluency no longer closes deals. Decisions by rule, writes to your ERP mid-call, live data volunteered only when a threshold is crossed, and a deterministic cost engine, in four markets.
Premium voices · 1 min
Keep your voices. Cut the bill.
Keep the premium voice you chose. VARTA replays the lines an agent has said before from cache, in the same voice, and sends only the new ones to your provider.
Layer 5 · 1 min
NITI: the rule engine inside VARTA
Every voice agent waits for a language model. VARTA mostly does not. NITI resolves a turn by rule in under two milliseconds, with the LLM as the last resort.
UPCHAAR and SHALYA · 2 min
How VARTA heals itself
Most voice agents stay as smart as the day they were written. VARTA’s two healing layers learn from every LLM rescue and propose structural fixes, checked before anything goes live.
Launch film · 24 s
Introducing VARTA
A voice-agent platform with a visible cost ledger: seven explicit layers, cached audio for repeated phrasing, and only the turns that need reasoning reach an LLM.