NextNeural
AI Sales Training Software Built on Real Sales Calls
NN Coach finds each rep's real gaps from your call data, then trains them on simulated calls with AI "customers" modeled on your toughest real objections — not generic role-play.
Gap detected: pricing objection — Rep: Arjun M.
From a real call, last Tuesday
"Your competitor quoted us 20% less for the same thing."
Practice scenario, live now
AI customer: "I've seen a competitor at 20% less — why should I pay more?"
Built for sales enablement, L&D, and frontline team leads
The Problem
Training that isn't built from your real calls doesn't transfer
Training gaps are invisible until a deal is already lost
Managers find out a rep struggles with a specific objection only after it's cost them a real deal, not before, in a safe practice environment.
Role-play doesn't scale past a handful of reps
A manager can shadow-coach a few reps a week at best. Everyone else practices on live customers, or not at all.
Generic training scenarios don't match your real calls
Off-the-shelf sales training modules teach generic objections — not the specific pushback your prospects actually give, in your market, on your product.
How It Works
From a real call to a scored practice session
Finds the real gaps first
NN Coach pulls from NN Intel and NN Assist data to see exactly which objections, products, or moments each rep struggles with — not a guess, a pattern from their real calls.
Builds a scenario from a real call
Simulated customers are modeled on actual past conversations — the same tone, the same pushback your reps will hear again this week.
Runs a live practice call
The rep calls an AI 'customer' and works the conversation for real — no script to read from, no manager standing over their shoulder.
Scores it and assigns the next one
Each simulated call is scored the same way a real one would be, and the next scenario targets whatever gap is still showing.
Capabilities
Everything needed to train on real patterns, at scale
AI customer simulations
Practice partners modeled on real recorded calls — tone, objections, and pacing included.
Gap detection from real data
Uses NN Intel + NN Assist signal to target exactly what each rep needs, not a fixed curriculum.
Scenario library from your calls
Build a growing library of real objection patterns instead of generic sales-training modules.
Consistent scoring
Every practice call is scored the same way a live one is — comparable across reps and over time.
Scales past a handful of reps
Every rep gets regular practice, not just the ones a manager has time to shadow-coach this week.
Multilingual scenarios
Practice in 90+ languages and regional accents, matching the markets your team actually sells in.
Grounded in your product
Simulated customers ask about your real pricing, features, and policies — not generic placeholders.
Sovereign deployment
Deploy on your own cloud or fully on-prem. Training call recordings never leave your infrastructure.
What Teams Say
Training that comes from the calls that really happened
"We stopped guessing what to put in the next training session. NN Coach shows us exactly which objection is costing deals this month, and builds the practice scenario from an actual call."
"New hires used to shadow calls for a month before we trusted them on the phone. Now they run simulated calls modeled on our toughest real objections in their first week."
"The scoring is the part that changed behavior. Reps take a simulated call seriously when it's graded the same way a real one is, not treated as a game."
Customer names anonymised for confidentiality. Verified references available on request.
Sovereign Deployment
Deploy on your terms
Builder AI runs wherever you need it — public cloud, private cloud, on-prem, or fully air-gapped. No compromises on data sovereignty.
Managed Cloud
Zero setup. We host it, you build. Scales automatically.
API-First
Full REST API access. Embed any NextNeural capability directly into your own product or workflow.
Bring Your Own Keys
Use your own model API keys for full cost transparency and control.
Air-Gapped
Fully isolated deployment for regulated industries and government.
FAQ
Questions, answered
Where do the simulated scenarios come from?
NN Coach models AI 'customers' on real past calls pulled from NN Intel and NN Assist data — the actual objections, tone, and pacing your reps encounter, not generic scripted role-play.
Do we need NN Intel or NN Assist to use NN Coach?
NN Coach works best with either or both connected, since gap detection is built on that call signal. It can also run from a manually uploaded set of past call recordings if you're not yet running Intel or Assist.
How is a simulated call scored?
The same way a live call would be — objection handling, compliance, tone, and outcome — so practice performance is directly comparable to real call performance over time.
Can managers see what each rep still needs to practice?
Yes — a running view of each rep's gap areas, scenario history, and score trend, so 1:1s can start from data instead of a manager's memory of a call they overheard.
Is our call data used to train NextNeural's models?
Never. NN Coach deploys on your own cloud or fully on-prem, with open-source model options — training call recordings and transcripts stay inside your infrastructure by contract, not just policy.
What languages can scenarios run in?
90+ languages and regional accents, including Hindi and major regional Indian languages, matched to whichever markets your team sells into.
How is NN Coach priced?
Pricing scales with number of reps enrolled. Pilots start with a small fixed fee; enterprise and sovereign deployments are custom-quoted after a strategy call.
Ready to deploy
Turn your best rep's calls into everyone's training
We'll walk through a live NN Coach demo built from a scenario in your own call data.