01 / CAPTURE
Hear the conversation.
Conversation intelligence ↗Recorded calls, transcripts, and customer context enter the operating record.
Sees the sale.
Hears the call.
Runs the business.
The private AI operating system for companies that sell through people. One private model joins what customers say, what competitors charge, and what your team does—then runs the work: an agent per employee, a campaign per neighborhood, a back office that runs itself. Built in live operations. $0 outside capital.
One private model per partner. One AI agent per employee. Zero customer records shared.
Public market contextDaily refresh
Google reviews & VOCCompetitive offers
Inside your private tenant
Sales · Activations · Employee performance
Your private model
Market context meets your operating history.
EmployeesNext best action
MarketingLocal campaigns
OperationsFollow-through
↳ Labeled outcomes inform the next decision
Built in live operations. Designed to scale across industries.
Data → Agents → Compounding$0 → $3.5MAnnual recurring revenue
In under 12 months, on founder capital
$0Outside capital raised
Revenue-positive from launch
200Employees, each with an agent
Across 2 live partners
3,900+U.S. cities mapped
Carrier share of distribution
0Customer records shared
With frontier models or other partners
September 2026 investor brief · Company- and partner-reported figures · Eight-figure annual sales under management · Anchor operation: 3,700+ activations a month, 90% activation completion, under 2% chargebacks, 100% of calls scored (manual QA typically covers ~3%)
What Neural AICO does
Seven live capabilities.
One loop that compounds.
Capture the conversation. Read the market. Decide, execute, measure, learn. Every capability feeds the next, and every outcome makes tomorrow’s plan smarter than today’s.
7 live capabilities, across one operating loopExplore every capability
02 / ENRICH
Understand the market.
VOC & competitive intelligence ↗Google reviews, local offers, pricing, and distribution put the opportunity in context.
03 / DECIDE
Plan the next move.
Employee agents ↗Sales scheduling & mapping ↗A plan, a location, coaching, and the next best action for each employee.
04 / EXECUTE
Put it into motion.
Local campaigns, offers & QR leads ↗Autonomous back office ↗Follow through on demand, sales, activation, commissions, and payroll.
05 / MEASURE
Read the outcome.
Executive intelligence ↗Company P&L, employee performance, and labeled outcomes inform management action.
06 / LEARN
Make the next move smarter.
Call scoring & coaching ↗Compounding private history ↗Observed results inform the next plan, offer, campaign, and employee action.
Inside your partner tenant
Your private compact model
Customer + offer + employee + market + outcome
See how the context stays together ↗↻ Outcomes feed the next decision. Private records stay inside the tenant.Illustrative platform map
Extending the loop
Customer sale journeyQ4 2026Base managementQ4 2026Vision intelligencePIPELINEPlanned capabilities
THE INTELLIGENCE THAT CONNECTS IT ALL
What customers say.
What competitors charge.
What your team actually does.
Three signals, one private view, down to the city. Together they decide where to focus, what to offer, how to coach, and which campaign runs next. No single vendor holds all three.
01 / Customer voice
Hear what your market is telling you.
Google reviews reveal the experiences customers praise and the problems they keep raising. Neural AICO organizes that voice of customer by market and provider, bringing sentiment and recurring themes into view.
- Ratings & review volume
- Positive, neutral & negative sentiment
- Recurring praise & complaint themes
- Market and provider context
What this unlocks
Market intelligence refreshed dailyTurn what customers complain about into the message, the coaching moment, and the follow-up—before a competitor does.
The signal
Google reviews & customer voice
Ratings, sentiment, recurring themes
Inside the partner tenant
Calls, employee coaching, sales outcomes
Your private model adds the partner’s operating context.
Informed action
Relevant message · Coaching · Follow-up
Conceptual workflow · No live customer data shown
02 / Competitive context
Put your offer in its local context.
Bring competing plans, prices, offers, and share of distribution into the same view. Understand the choices customers see in their market and the price gaps your team needs to address.
- Competing plans & pricing
- Promotions & offer context
- Price gaps
- Carrier share of distribution
What this unlocks
Market intelligence refreshed dailyInform the offer, the rebuttal, and the local campaign with current market context.
The signal
Competitive plans & offers
Plans, promotions, prices, distribution
Inside the partner tenant
Offer mix, sales, activation outcomes
Your private model adds the partner’s operating context.
Informed action
Offer context · Rebuttal · Local campaign
Conceptual workflow · No live customer data shown
03 / Your operating performance
Ground the next move in your own results.
Your sales, activations, employee performance, commissions, and retention outcomes add the context that is specific to your business. A private model brings that operating history together with the market picture.
- Sales & activation outcomes
- Employee performance & coaching
- Commissions & payroll
- Retention outcomes & executive P&L
What this unlocks
Live operating analytics; source update timing variesConnect market context to employee plans, operational follow-through, and management decisions.
The signal
Your first-party operating history
Sales, calls, activations, commissions
Inside the partner tenant
Market intelligence adds local context
Your private model adds the partner’s operating context.
Informed action
Employee plan · Execution · Executive view
Conceptual workflow · No live customer data shown
The advantage is in the relationship between the signals.
Local demand, competitive pressure, and actual sales outcomes inform the same decision. As the operation records what was offered, activated, paid, and retained, the partner builds a deeper private history for the next campaign, plan, and action.
Market signals are refreshed daily. Operating analytics are live, subject to source update timing. Competitive changes can be assessed where current and prior observations are available.
Intelligence for the whole operation
Most software watches the call. Neural AICO runs the business around it: next best action, commissions, payroll, and the company P&L.
Give every employee a top performer’s playbook.
A personal agent delivers the plan, the coaching, the offer, and the next best action—built from your own operation’s wins, and the gap between your top and bottom performers.
Run the back office without the back office.
Scheduling, mapping, follow-up, commissions, and payroll flow from the conversation with no hand-off. Partners report running seven-figure monthly operations with fewer than four support staff.
Every outcome makes the next decision smarter.
Executive intelligence shows the live P&L. Labeled results feed the next plan, and the operating history compounds inside your tenant—an advantage no competitor can buy.
Results at the anchor partners
Fewer hires. Higher margins.
Three-year contracts.
What two live partners report from running on Neural AICO. Partner-reported, September 2026.
Back-office, reporting, commission and scheduling work now runs on agents. Each partner reports roughly twenty positions it did not need to fill.
Seven-figure monthly operations run with fewer than four support staff, with leakage caught before it reaches the P&L.
Both anchor partners have signed multi-year platform agreements and plan to double revenue in the next twelve months.
Figures are reported by the partners for their own operations and are not a guarantee of results elsewhere.
The compounding loop
One customer complaint.
A whole operation responds.
Follow one concern from a Google review through the competitive picture, an employee’s next best action, a local campaign, and the outcome that sharpens the next move.
Market signals+Private context→Employee agents→Business execution→Labeled outcomes↺
Illustrative local workflow · Not a live customer feed or a measured case study.
01 / Capture
Hear the concern.
Public reviews in a market repeatedly mention confusing bills. Recorded sales calls add the objections your own team hears.
WHAT COMES TOGETHER
Google-review theme + recorded call
CONTEXT CARRIED FORWARD
Customer concern, market, provider
02 / Enrich
Add the competitive picture.
Compare the available plans, current promotions, and local price gaps alongside those customer concerns.
WHAT COMES TOGETHER
Local plan + price + offer context
CONTEXT CARRIED FORWARD
Market, product, competing option
03 / Decide
Bring in your own outcomes.
Review the partner’s sales and activation history, employee performance, and call scores to inform a relevant offer, plan, and rebuttal.
WHAT COMES TOGETHER
Private history + employee guidance
CONTEXT CARRIED FORWARD
Offer, employee, planned action
04 / Execute
Coordinate the response.
Shape a local social campaign around clear pricing, connect it to QR leads, and support employees with the plan and follow-up workflow.
WHAT COMES TOGETHER
Local campaign + employee follow-up
CONTEXT CARRIED FORWARD
Lead, sale, activation follow-up
05 / Measure
Follow the operating result.
Track the resulting sales, activations, commissions, and available customer outcomes in the partner’s operating view.
WHAT COMES TOGETHER
Sales + activations + commissions
CONTEXT CARRIED FORWARD
Customer/account, status, result
06 / Learn
Inform the next move.
Bring the observed outcomes back into the partner’s private operating history to inform the next plan, coaching moment, and campaign.
WHAT COMES TOGETHER
Labeled outcomes + learned patterns
CONTEXT CARRIED FORWARD
Partner-specific operating history
↳ Back to the next decisionPrivate data. Informed agents. Compounding intelligence.
Conversation intelligence · Live since September 2026
Every call scored.
Every rebuttal written.
Manual QA hears about 3% of calls. Neural AICO scores all of them against your playbook, then turns what it hears into coaching and the next best action. Runs as a stand-alone module for any contact center.
100% of calls, stored and scored.
Every conversation is recorded, transcribed, and scored against the training manual—not a sample.
Real-time insight on what customers are saying.
Volume, keywords, recurring objections, and playbook adherence, by employee and by market.
The gap to your top performer, and how to close it.
Employee-level scoring shows where each person is losing the call. Agent-written rebuttals give them what to say next time.
Next best action, delivered to the employee.
Scores and objections feed the employee’s agent, the local campaign, and the executive view—inside your tenant.
100% call scoring is reported at the anchor deployment. Manual QA coverage benchmark (~3%) from industry reporting.
Hyperlocal social marketing & presence
Hyper-local marketing
that knows the neighborhood.
Campaigns on Instagram, Facebook, and Google, shaped by what customers in that city say, what competitors there charge, and what your sellers there close—then tied to QR leads and employee follow-up so interest becomes an activation.
- 01
Find the local angle
Start with customer sentiment, recurring concerns, and the competitive offer landscape.
- 02
Shape the campaign
Inform the message and offer with local context and the partner’s sales experience.
- 03
Connect interest to action
Bring campaigns and QR leads into the employee plan and follow-up workflow.
- 04
Learn from the outcome
Use sales and activation outcomes to inform the next campaign and commercial decision.
Illustrative campaign briefExample market
The local opportunityMake price and terms
Make price and terms
easy to understand.
Customer concerns and competitive context shape the message. Your own sales experience grounds the offer.
- Customer voice
- Recurring concern: confusing bills
- Competitive context
- Available plans, promotions, and local price gaps
- Your operating context
- Sales, activations, and employee experience
- Message direction
- Explain the offer, pricing, and terms clearly
From presence to action
Local social campaign → QR lead → Employee follow-up
Review sales and activation outcomes to inform the next campaign. This example does not claim measured campaign lift.
A stronger local presence, grounded in local intelligence.
Explore a local growth workflowEvery capability. One operating model.
Ten capabilities.
Seven live today.
Each one closes a loop.
For every capability: the data behind it, the insight it creates, the action it takes, and what it feeds next. Status labels are exact—live means live.
01Voice of customer & market intelligence
Bring local customer concerns and competitive pressure into the commercial decision.
LIVE
Voice of customer & market intelligence
Bring local customer concerns and competitive pressure into the commercial decision.
Data that informs it
Google-review ratings, sentiment and themes; competing plans, pricing, promotions, and carrier distribution by city.
Insight it creates
Which experiences customers praise or criticize, what competing options are available, and where local price gaps exist.
What it puts into action
Inform offer positioning, coaching, local campaign themes, and commercial planning.
What it feeds next
Employee agents, conversation coaching, and city-level marketing.
Outcome & status
Review themes, offer context, sales, and activation outcomes. Market intelligence is refreshed daily.
02An agent for every employee
Give each employee guidance grounded in the partner’s own operation.
LIVE
An agent for every employee
Give each employee guidance grounded in the partner’s own operation.
Data that informs it
The partner’s sales history, employee performance, call scores, customer context, and local market intelligence.
Insight it creates
The next relevant plan, coaching moment, offer, or rebuttal for the employee’s work.
What it puts into action
Deliver the plan and next best action through an employee-specific agent.
What it feeds next
Sales scheduling, conversations, commercial execution, and follow-up.
Outcome & status
Employee activity and available sales, activation, and commission outcomes.
03Sales scheduling & mapping
Connect where employees sell next with the plan they are working toward.
LIVE
Sales scheduling & mapping
Connect where employees sell next with the plan they are working toward.
Data that informs it
Employee schedules, sales history, geographic context, and local market intelligence.
Insight it creates
Where to focus employee activity in the next selling cycle.
What it puts into action
Coordinate sales scheduling and mapping with the employee’s plan and next best action.
What it feeds next
Employee execution and the next set of local sales outcomes.
Outcome & status
Sales and activation outcomes by employee and market, where available.
04Conversation intelligence
Make actual customer conversations useful for coaching and the next action.
LIVE
Conversation intelligence
Make actual customer conversations useful for coaching and the next action.
Data that informs it
Call-center recordings, transcripts, the playbook, and available customer and outcome context.
Insight it creates
Playbook adherence, recurring objections, and coaching opportunities.
What it puts into action
Score calls, develop rebuttals, and send next best actions to the employee.
What it feeds next
Employee coaching, local customer understanding, and the next conversation.
Outcome & status
100% call scoring in the reported anchor deployment. No universal performance guarantee.
05Local campaigns, offers & QR leads
Give the local social message a reason to be relevant to that market.
LIVE
Local campaigns, offers & QR leads
Give the local social message a reason to be relevant to that market.
Data that informs it
Customer voice, competing offers, city-level insights, and the partner’s sales experience.
Insight it creates
The customer concern, offer context, and message angle that deserve local attention.
What it puts into action
Shape city-level social campaigns, offers, and QR lead workflows.
What it feeds next
Employee plans, customer follow-up, and operating outcome records.
Outcome & status
Leads, sales, and activations where recorded. Ad-platform attribution and automatic social publishing are not represented here.
06Autonomous back office
Carry the sale into the operational work that follows.
LIVE
Autonomous back office
Carry the sale into the operational work that follows.
Data that informs it
Customer and account context, sale and activation outcomes, and commission and payroll records.
Insight it creates
The follow-up and compensation work associated with the operating outcome.
What it puts into action
Run activation follow-up, commission calculation, and payroll workflows.
What it feeds next
Employee earnings, labeled operating results, and executive intelligence.
Outcome & status
Activation, commission, and payroll outcomes connected to the operating record.
07Executive intelligence
Bring the company’s operating results into the leadership decision.
LIVE
Executive intelligence
Bring the company’s operating results into the leadership decision.
Data that informs it
Sales, activations, employee performance, commissions, and company financial context.
Insight it creates
What is happening across the operation and its live P&L.
What it puts into action
Provide executive insights and actions informed by the same operating history.
What it feeds next
Management decisions, employee priorities, and the next operating cycle.
Outcome & status
Live P&L and operating outcomes; freshness depends on the source system.
08Customer sale journey
Extend the customer workflow from initial interest through activation and review.
Q4 2026
Customer sale journey
Extend the customer workflow from initial interest through activation and review.
Data that informs it
Customer and account context, leads, sales, activation outcomes, and reviews.
Insight it creates
A more connected view of the customer’s progress through the sale journey.
What it puts into action
Planned customer-facing workflows across lead → sale → activation → review.
What it feeds next
Back-office follow-through, customer outcomes, and the learning loop.
Outcome & status
Planned for Q4 2026. This integrated journey is not represented as live.
09Base management
Extend operating intelligence into the ongoing customer relationship.
Q4 2026
Base management
Extend operating intelligence into the ongoing customer relationship.
Data that informs it
The partner’s customer, product, account, and available retention history.
Insight it creates
Context for retention, upsell, and opportunities to combine services.
What it puts into action
Planned base-management workflows for retention, upsell, and convergence.
What it feeds next
New customer outcomes, future commercial actions, and private learning.
Outcome & status
Planned for Q4 2026. Stored retention outcomes do not imply this automation is live.
10Vision at the point of engagement
Add the context of the pitch to employee coaching.
PIPELINE
Vision at the point of engagement
Add the context of the pitch to employee coaching.
Data that informs it
Planned video capture at the point of engagement.
Insight it creates
Additional context about the pitch and employee-customer interaction.
What it puts into action
Bring pitch video into coaching and the partner’s operating history.
What it feeds next
Future coaching, employee plans, and the private learning loop.
Outcome & status
Pipeline capability. No live video or wearable capture is claimed.
Critical data, with the context intact
A sale is a number.
Its context is the asset.
Which customer, which offer, which employee, which market, and what happened next. Neural AICO keeps every sale attached to its story, so the next decision starts from evidence, not averages.
The contextual operating recordConceptual data view
Customer & accountA relationship carried
A relationship carried
through the outcome.
Sale → Activation → Commission → Retention
- Customer context
- Account, product, plan, and service details
- Engagement context
- Recorded call, transcript, objections, and playbook score
- Commercial context
- Offer, employee, market, and sales activity
- Market context
- Review themes, competing prices, and distribution
- Outcome context
- Activated, paid, retained, reviewed
Stored within the partner’s tenant · No shared model weights
Preserve the first-party detail.
The brief’s anchor data includes customer and account records, plan, device, service address, credit tier, product mix, and recorded calls. These records remain with the partner.
Add the environment around the sale.
City-level review themes, competing offers, carrier share, and aggregated census profiles provide market context. Public-review themes describe a market; they are not presented as an identity match to a private customer.
Carry the result into the next action.
Sales, activation, commission, and available retention outcomes add to the operating history. That context informs employee guidance, coaching, campaigns, and executive decisions.
Keep the boundary around the data.
Raw customer data and personal information stay inside the partner tenant. Only learned patterns may be benchmarked across partners, with consent. Aggregated demographic data is never used to decide on an individual.
Data context and product roadmap
This is a logical view of how the platform's data connects. The integrated customer sale journey and base-management automation remain planned for Q4 2026; vision capture remains in the pipeline.
Private by design
Your data never leaves.
No frontier model sees it.
Each partner gets its own compact model, trained only on its own data, inside its own tenant. Privacy is not a setting here. It is the architecture.
Your data stays with you.
Raw data and personal information stay inside the partner tenant. Never pooled, resold, or sent to a frontier model.
Your model is your own.
Partner-specific training. No shared weights. A compact model grounded in the partner’s own business.
Learning without exposure.
Only learned patterns may cross partners, with consent. No customer record crosses a tenant boundary.
First-party operating data
Customers · Calls · Sales · Outcomes
Partner-specific compact model
Trained here. Operates here. No shared weights.
Employee agents + business workflows
↳ Outcomes feed the next decision, inside the tenant
Across partners: consent-based pattern benchmarking.
Customer records and model weights remain separate.
The data advantage
The moat gets deeper
every day you operate.
Customer voice explains the concern. Competitive context explains the choice. Your own outcomes show what happened next. Nobody else joins these three—and every month of operation makes yours harder to copy.
The outcome layer.
Customer and account context follows the sale through activation, commission, and retention. Recorded calls add the conversation behind the result.
Sale → Activation → Commission → RetentionThe market layer.
Carrier distribution and market share across 3,900+ U.S. cities, competitor rate plans, price gaps, and review-based voice of customer.
Local context, refreshed dailyThe demographic layer.
City-level census profiles add population, household, income, and demographic context to market understanding.
Never used to decide on an individualThe compounding mechanism
As the platform records what was offered, activated, paid, and retained, it connects decisions to results. That accumulated operating history informs the next plan, offer, and action.
Use cases & market unlocks
Take the whole loop.
Or start with one module.
Every capability runs on its own and sells on its own: conversation intelligence for a contact center, commissions and scheduling for a sales team, market intelligence for a marketer, executive intelligence for a CEO. Together they compound. Six modules, one private brain, for any business that sells through people.
Live = current deployment.
Q4 2026 = planned release.
Market figures = brief references.
Q4 2026 = planned release.
Market figures = brief references.
01 / CUSTOMER EXPERIENCEQ4 2026
Customer sale journey
Follow the customer from lead to sale, activation, and review in a connected journey.
$25.1BCustomer journey analytics
2026 forecast
2026 forecast
02 / DEMANDLIVE
Marketing & offers
Turn local market conditions and customer voice into campaigns, offers, and QR leads.
$20.9BLocation intelligence
2025
2025
03 / LEADERSHIPLIVE
Executive intelligence
Connect operating outcomes to a live P&L, management insights, and actions.
$17.8BDecision intelligence
2025
2025
04 / CUSTOMER VALUEQ4 2026
Base management
Extend the operating loop into retention, upsell, and opportunities to combine services.
$13.6BLoyalty & retention management
2025
2025
05 / PEOPLE & OPERATIONSLIVE
Sales performance & pay
Bring employee plans, sales scheduling, mapping, commissions, and payroll together.
$3.3BSales performance management
2025
2025
06 / CONVERSATIONSLIVE
Conversation intelligence
Turn call transcription and scoring into rebuttals, coaching, and the next best action.
$2.9BCall-center AI
2026 estimate
2026 estimate
Industries
Telecom & broadband dealersLive today · sales, retail, call center
Contact centersCall scoring, coaching, next best action
Insurance & financial productsAgent coaching, commissions, local demand
Auto & powersportsSales and F&I performance, market lens
Home services & securityScheduling, mapping, local campaigns
Residential energyNeighborhood targeting, seller agents
Telecom is the live deployment. Other industries are target markets; the first non-telecom pilot is a next-12-month target.
Market context & source notes
Figures reproduce published market references: MarketsandMarkets (customer journey analytics, 2026 forecast); Fortune Business Insights (location intelligence and sales performance management, 2025); Grand View Research (decision intelligence and loyalty management, 2025; call-center AI, 2026 estimate). They are supplied estimates, not independently verified here. Categories may overlap and use different reference years. Their approximately $84B combined value is not an additive addressable-market estimate or a revenue projection.
Why not the point-tool stack
Six jobs. Six vendors.
Or one platform.
Operators assemble enterprise tools that never talk to each other, then hire a back office to reconcile them. Neural AICO does all six jobs in one private model—priced against the stack it replaces, paid back in headcount.
| The job | Typical tool category | What they can’t see | Neural AICO |
|---|---|---|---|
| Conversation scoring & coaching | Contact-center AI, revenue intelligence | Your commissions, routes, P&L, market share | Live |
| Sales scheduling & mapping | Sales-team apps | Call outcomes, competitor offers, customer voice | Live |
| Commissions & payroll | Incentive-compensation software | Anything outside the pay calculation | Live |
| Market & competitive intelligence | Syndicated data, competitive-intel tools | Your own sales history and results | Live, refreshed daily |
| Local marketing & leads | Social-media suites, agencies | Which campaign produced an activation | Live |
| Executive P&L & forecasting | BI tools, FP&A analysts | The conversation and the market behind the number | Live |
Categories describe the typical stack a mid-market operator assembles; no specific vendor comparison is claimed. Enterprise point tools typically price per seat plus platform fees and seat minimums.
Operators, building for operators
Built by people who ran
the businesses it now runs.
Neural AICO was built inside live sales operations by a team that has run carrier channels, turnarounds, and M&A at scale—and shipped it to revenue-positive without outside capital.
Ankit Sharma
FOUNDER & CHIEF EXECUTIVE OFFICERFormer T-Mobile executive who led business turnarounds at T-Mobile and a Latin American cable and mobile operator, and worked in M&A at SoftBank. Founded Neural AICO on one observation: the companies that need revenue intelligence most are the ones priced out of it. Took the platform from $0 to $3.5M ARR in under 12 months on founder capital.
AI Team
AI & ENGINEERINGBuilds and runs the platform's AI and engineering: partner-specific compact models, employee agents, conversation scoring, and the private tenant architecture.
Leadership team
OPERATORS FROM THE UN-CARRIER TURNAROUNDFormer carrier executives and turnaround operators who were core to the Un-carrier transformation, alongside senior engineering and AI talent. Every leader has run a sales organization the platform now serves.
The next 12 months
Next 12 months:
deeper journey, new industries.
Why now: carriers are pushing volume to dealers, enterprise AI suites have repriced upward, and mid-market operators are choosing between an unaffordable stack and none at all. Neural AICO enters with a live operating foundation, two partners on multi-year commitments, and a defined path to more of the customer journey and the first deployment beyond telecom.
Complete more of the customer journey.
Customer sale journey and base management: lead through activation and review, then retention, upsell, and convergence.
Customer-facing workflows · Retention · Upsell
Add vision at the point of engagement.
Bring video of the pitch into coaching and the partner’s operating history.
Vision intelligence · Point-of-engagement capture
Expand the partner base and industry reach.
Move from two live commercial partners to four, and launch the first non-telecom pilot.
4 commercial partners · First non-telecom pilot
Plans and targets for the next 12 months. Future releases and partnerships are not represented as live.
For commercial partners & investors
See your operation
with a private brain behind it.
See your market in 30 minutes. We bring your cities’ carrier share, competitor plans, and customer reviews to the first call—before you share a single record.