Pitch intelligence for the frontline.
Upload a recorded sales pitch from the counter or the field. KshetraIQ audits it against your product catalogue and training rubric, scores it out of 100 across four dimensions, explains every score in the rep’s own language, compares it with the best pitches in the zone, and rolls it all up for the head of L&D.
Five modules, one audit engine.
An enterprise sales audit and quantitative training portal. Every module reads from the same scored pitch library, so a coaching note, a benchmark and a regional grade all trace back to real conversations.
Pitch Audit
Video or audio in, scored report out: overall score, four dimensions, reasoning, transcript with visual context.
Sessions & Progress
Every rep’s audits over time. Ramp-up from induction to counter, and who is stalling.
Product Catalog
Specs, USPs and battlecards the auditor scores against. Update it centrally, rubrics follow.
Best Pitches & Compare
Trainers flag benchmark pitches. Any candidate is compared against them with a delta coaching report.
L&D Overview
Pass rate, elite rate, score distribution, region health and top performers on one screen.
Every pitch, scored in minutes.
Drop in a recording or paste a drive link. The audit engine transcribes the pitch, reads the showroom through the camera, and scores product knowledge, pitch structure, objection handling and language blend out of ten, with an overall score out of 100 and a one-line reason for each mark.
Cites the mechanical reason behind each specification, not just the number.
A linear demonstration rather than a conversation. No customer check-ins.
Pre-empts water-pressure and noise objections before they are raised.
Natural regional-language and English mix for the store’s customers.
Coaching the rep can hear, in their own language.
Every score comes with the auditor’s justification, switchable between English and the rep’s language. Coaching is split into validated strengths and rigorous gaps, each with a one-tap audio explanation, and every claim is anchored to a timestamp in the transcript with what the camera saw at that moment.
The advisor quotes precise operating figures (wash temperatures, inlet pressure, drum capacity) and explains the difference between the steam and rinse cycles. Depth of product understanding is evident.
Opens clearly and moves through features, competition and finance in order, but never pauses to discover the customer’s actual pain point.
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05:50
Learn from the best pitch in the zone.
Trainers flag up to three benchmark pitches per region. Pick any candidate and the engine overlays the two skill envelopes and writes a delta coaching report: where the gap is, what already matches the benchmark, and the two or three actions that close it.
Rep N-14 · flagged by trainer88 / 100
Rep W-07 · flagged by trainer86 / 100
Executive summary. Both pitches lead with product mastery and pre-empt objections. The benchmark scores higher on pacing, precision of figures and a closing that links finance to after-sales service rather than ending on a cashback offer.
Growth gaps vs benchmark
- Pacing: the candidate delivers specifications as a rapid list; the benchmark pauses so the customer absorbs each one.
- Closing depth: transactional close versus a peace-of-mind close citing the service network.
Benchmarked strengths
- Technical mastery and competitive numbers match the benchmark.
- Regional-language blend is calibrated to the store.
Targeted coaching actions
- Adopt a methodical pace with two check-in questions per segment.
- Move from feature lists to feature, advantage, benefit.
The head of L&D sees the whole field.
Total sessions, active employees, average score, pass rate and elite rate at the top. Below it, the score distribution, a region health matrix graded A to C against the company average, top performers and the latest audits. Curriculum decisions get made on counter reality, not on classroom attendance.
| Region | Grade | Avg | Sessions | vs avg |
|---|---|---|---|---|
| North zone | A · Elite | 83.0 | 412 | +11.6 |
| West zone | B · Good | 74.2 | 358 | +2.8 |
| South zone | B · Good | 69.8 | 301 | -1.6 |
| East zone | C · Average | 60.1 | 213 | -11.3 |
From a conversation to a curriculum change.
Capture
Real pitches recorded on a phone at the counter or in the field, multilingual, with the camera adding visual context where display and demo matter.
Score against your rubric
The product catalogue and a golden dataset annotated by your own trainers define what elite looks like: mandatory specs, ideal objection handling, brand phrasing.
Coach in the rep’s language
Strengths, gaps and audio explanations reach the rep while the conversation is still fresh. Trainers compare against benchmarks.
Feed back to L&D
Score distributions, regional grades and recurring gaps flow into the next refresher, so training follows the field.
Quantitative on purpose.
Your golden dataset, not a generic benchmark.
Academic benchmarks say nothing about your counters. KshetraIQ is tuned and tested on your own pitches, using the same pipeline as our published models.
Coaching where reps already are.
The next step turns KshetraIQ from an evaluator into a coaching companion on WhatsApp and email, with no app to install and no login to remember.
Post-pitch nudge
Miss a key feature and a 45-second vernacular explainer arrives within minutes.
Morning warm-up
Two minutes of flashcards on the focus model, the week’s offer and the battlecard.
Pitch to sellout
Connect coaching quality to counter conversion through your CRM or sellout app, so training ROI is measured, not assumed.
Managed by us, or inside your walls.
Turnkey by Neural Infrastructure.
We run provisioning, scaling, monitoring and upgrades. Isolated database per customer, encryption at rest and in transit, role-based access. Zero DevOps on your side.
Self-hosted, data sovereign.
Containerised deployment inside your AWS, Azure or GCP account or on-premise, under enterprise NDA and licence, aligned to your firewalls and audit protocols. Route through your own LLM contracts if you have them.
Typical path: a streamlined proof of concept on your own pitches in about two weeks, then an enterprise build with your golden dataset, preference tuning and evals in roughly a quarter.
Common questions.
Who is it for?
Learning and development, sales training and sellout teams with a frontline that sells from a script and a catalogue: consumer durables and retail first, then any field or counter sales force.
What does a rep need to do?
Record the pitch on a phone and upload it, or share a drive link. The audit runs in minutes and the report is stored against the rep and the product.
What happens to the recordings?
They stay on your instance, managed or self-hosted, and are used only to score and coach your own team. Client data is never used to train public models.
Does it work in Indian languages?
Yes. Reasoning and coaching switch between English and the rep’s language, and mixed-language pitches are normal in the training data.
What does the name mean?
Kshetra is Sanskrit for field. KshetraIQ is field intelligence: what actually gets said where the sale happens.
See KshetraIQ on your own pitches.
Bring ten recordings and your training deck. We will run the audits and show you the scores, the gaps and the benchmarks. No pitch deck from us. Just a technical conversation.