ORCHESTRATE
Can AI be acost center?
Private Revenue Conversion Intelligence for Your Business
Evitar turns intent into revenue across web, WhatsApp, voice, CRM, and human teams. Its specialized intelligence chooses the next best action, pursues the outcome, and compounds what your business learns along the way. Reliably, under enterprise control.
One customer state across every conversion surface
Intelligence you own. Advantage that compounds.
Generic agents rent the same intelligence to everyone. Evitar builds specialized conversion intelligence around your journeys, outcomes, policies, and enterprise context.
Reliable, predictable outcomes — not a roll of the dice.
Pure LLMs are creative but unpredictable — a liability when real money, compliance, and customer trust are on the line. Evitar's neuro-symbolic architecture pairs the fluency of generative models with a deterministic symbolic layer of rules, policies, and logic. The model handles the conversation; the symbolic core guarantees the outcome.
Outcome
Your conversion policy reflects your products, customers, teams, and operating reality — not a shared prompt layer competitors can copy.
Every action and outcome becomes a learning trajectory, so the intelligence improves instead of letting valuable interactions disappear into logs.
Customer state, policy, governance, and deployment stay under enterprise control, with traceable decisions and clean human handoffs.
Conversations are the input. P&L is the output.
Every Evitar agent deploys against a target metric and reports the lift back to you, live, from day one. Pricing follows the same rule — outcomes.
Escape pilot purgatory.
Most teams have run an AI pilot. Few have booked a result. The difference isn't the model — it's what the AI is held accountable for.
- Pilots that demo well — and never graduate to production
- Hallucination anxiety: nobody signs off on what it might say
- Bought as an IT line item, measured in tickets and deflection
- Value promised in decks, never visible on the P&L
- Every intelligence deploys against a number your CFO tracks
- Neuro-symbolic reliability — predictable, on-policy, by design
- Every action and outcome compounds what the system learns
- Humans stay focused on the high-value moments only they can own
Present at every
moment of
customer intent.
Customer intent appears across web, WhatsApp, voice, consumer apps, and human conversations. Evitar preserves one private customer state across them all, decides what should happen next, and carries each journey toward revenue.
Next-action generation, not next-token generation.
Evitar's conversion intelligence reasons over the actions that actually move a journey forward — ask, wait, message, call, offer, hand off, remind, or stop — then learns from the outcome.
Lead Warming Agent
A multi-turn autonomous sales agent operating across WhatsApp and voice. Works every lead, qualifies, and books — so pipeline stops leaking before a human ever picks up.
Journey Orchestration Agent
Coordinates the next best action across web, WhatsApp, voice, CRM, and human teams — preserving context, enforcing policy, and moving more journeys forward.
Revenue Assurance Agent
Turns reports into action levers — a live command center natively integrated with your CRM, LOS, ERP, and Slack, so managers act instead of reading MIS.
One model-driven system that gets better with every outcome.
Specialized conversion intelligence, persistent customer state, and governed execution — deployed across the surfaces your enterprise already runs.
Conversion Action Models
Reason over actions, not just responses
Multi-surface execution
Web, voice, WhatsApp, apps and humans
Neuro-symbolic runtime
Generative reasoning + governed policy
Persistent customer state
One context across the entire journey
Multilingual by design
10+ languages across voice and text
Enterprise control
Private, auditable and policy-bound
One customer. Every touchpoint. One continuous thread.
From lead warm-up to application to closure, Evitar carries one state from the first web or WhatsApp signal to the final CRM update — so every action builds on what came before.
Step 1 / 5 · DiscoveryA prospect replies to a campaign. The agent greets them instantly, in their language, and captures intent.
From "no outcomes in sight" to live in 60 days.
"We struggled with hallucinations and reliability for nine months. No outcomes in sight."
"We would like to move entirely to outcome-based pricing with a model like this."
Built for high-consideration journeys where follow-through decides revenue.
We start in lending and insurance, where conversion depends on persistent, multi-touch journeys across digital surfaces, enterprise systems, and governed human handoffs.
- 01Lending & InsuranceLead warm-up, intent-to-application, underwriting support, follow-up, and closure for banks, NBFCs, and insurers.
- 02HealthcareHigh-consideration patient and customer journeys that require timely guidance, persistence, and human escalation.
- 03Real Estate & Adjacent CategoriesMulti-touch conversion journeys where intent is valuable, decisions take time, and context cannot be lost.
How It Works
From signal to outcome, fully orchestrated.
Conversion Intelligence Command
Deep AI, engineering, and GTM from a team that lived the conversion problem.
Three complementary founders combining model innovation, enterprise-grade platforms, and institution-scale execution.
Amit Sharma
A two-time founder, product builder, and published AI researcher who has lived the conversion problem across two startups.
- 012× founder and CEO
- 02Published AI researcher with UCLA roots
- 03Built and scaled enterprise technology businesses
- 04Lived the conversion problem for 10 years
Ravikiran
An enterprise platform engineer focused on building reliable systems that perform at exceptional scale.
- 0112+ years building enterprise-grade platforms
- 02Systems serving 220M+ users
- 0329.4K requests per second at peak
- 04100% uptime at peak with major infrastructure efficiency gains
Anil Dhankher
Three decades building, transforming, and governing institutions across BFSI, IT/ITES, and consulting.
- 012× founder with 30+ years of operating experience
- 02Leadership across ADCB, Firstsource, Bajaj Finance, and HCL
- 03Led enterprise-scale execution and transformation
- 04Deep expertise in GTM, governance, and operating models
Model innovation × enterprise platforms × institution-scale GTM