Investor Pitch · Pre-Seed · Plan Starts January 2027

The AI companion that helps every user meet and exceed their KPIs.

It watches every target, writes the next move in seconds, runs the play, and credits the win — then does what no tool does today: attributes every coaching move to the number it moved. From a user's action, to a manager's signal, to a platform owner's proof.

$800K
on an $8M post-money SAFE · ≈10%
Pre-revenue
full working prototype live
$54B
addressable market
Aug 2027
seed-ready · Base case
$2.5–3M
next round target
Marco Monge Jake Eisbart Darren Yetzer
Three operators who spent 15+ years selling enablement to the enterprises we're building for — and who shipped this working prototype themselves.
01 · The Problem & Why Now

People miss their numbers. Nobody catches it in time.

The top 10% don't need help. The bottom 30% get a manager's attention. The middle 60% — where most of your revenue lives — gets a quarterly review and a content library nobody opens.

For the employee

  • 67% don't know where they stand on their KPIs mid-cycle
  • Coaching arrives weeks late, after the work is already done
  • No always-on guidance on the next move that closes the gap

For the manager & the org

  • 40% of the manager's week is stitching CRM, BI, and 1:1 notes by hand
  • No way to prove which coaching moved which number
  • Boards keep asking "did it actually work?" and nobody can answer with a number

Why the window is open now

AI hit the coaching bar

For the first time an AI can coach with the nuance of a senior manager — at a cost per nudge that dropped 40× in two years.

Attainment in free-fall

Fewer than half of users now hit quota — down sharply since 2021. Boards demand measurable enablement ROI, not more dashboards.

Stack fatigue is real

The average revenue org runs 13 tools and is aggressively consolidating. We replace 4–6 line items with one — and prove it pays for itself.

02 · The Product

One platform. Three cockpits — one per role.

Each role gets the same loop in the language of their job. Customers land on a team — IC and Manager cockpits together — then expand across the org to the Platform cockpit, one shared loop graph underneath.

For the User · Pillar 1

Individual Cockpit

Where the work happens — and the core promise lives: meet and exceed your KPIs. Live targets, the AI coach with four voices, and a KPIQ report that explains the why behind every move.

For the Manager · Pillar 2

Team Cockpit

Where the team gets coached — and the manager gets coached too. The heatmap shows who's drifting before they ask, and the KPImpact report turns the ledger into a board-ready ROI receipt.

For IT & Ops · Pillar 3

Platform Cockpit

Where compliance and integrations live. Signed audit trail of every motion. Native SSO via Entra ID or any SAML provider. Single pane for every connector — Salesforce, Dynamics 365, Teams, Outlook, Slack — so IT becomes a stakeholder, not a gatekeeper.

Explainable. Every AI action ships with its KPIQ report — the reasoning, in plain language. No black box.
Private. The user gets coached; the manager sees only the aggregate. Coaching signal, never keystroke surveillance.
Auditable. Every motion leaves a signed, immutable receipt IT can verify. Trust is the architecture.

All three cockpits are built and clickable today — the AI coach and the closed-loop attribution ledger run end-to-end. Pre-revenue. This round ships the production MVP.

03 · Why We Win

Four reasons that compound.

01 · The Core
Middle 60%where the lift hides

We coach the people everyone else ignores.

The top 10% don't need help. The bottom 30% get a manager. The middle 60% has never had an always-on coach. Five points × six people beats fifteen points × one.

02 · Provable ROI
Every winattributed

Engagement → revenue, on one line.

Every coaching motion maps to the number it moved — a live ledger with a receipt for each play, packaged as the KPImpact report. This is the answer to the board question every enablement tool dodges.

03 · The Consolidation Play
4–6 toolsreplaced by one

We replace the stack, not add to it.

We fold the coaching tool, the enablement library, the scorecard, and the attribution layer into one line item. In a budget-cut cycle, "replaces 4–6 tools" wins the room.

04 · The Data Moat
Behavioralnot self-report

We see the signal nobody else has.

Because we sit where the work happens, every coaching move and its outcome becomes proprietary behavioral performance data. Salesforce and Gong record the activity but never close the loop; coaching tools never touch the number.

How we compare — head-to-head
Capability KPIcons Gong / Salesforce
Revenue tools
Lattice / Culture Amp
People tools
BetterUp
Coaching
AI coach with multiple voices, on the work ✓ 4 personas ~ tips — ~ human, scheduled
Every motion attributed to the number it moved ✓ live ledger — — —
Closes the loop — coaching tied to the outcome ✓ proven — — —
Every AI action explains itself, in plain language ✓ KPIQ report — — ~ human notes
Board-ready ROI proof, attributed ✓ KPImpact report — — —
Replaces 4–6 point tools in one platform ✓ consolidates ~ revenue only ~ people only —

Nobody else puts an always-on AI coach on the work and attributes every motion to the number it moved. That closed loop is the behavioral-data moat.

04 · Team

Operators who lived the pain — and shipped the product.

We were the middle 60%, the manager stitching CRM exports by hand, the agency asked to prove the spend actually worked.

Marco Monge, Co-Founder, CEO & CTO

Marco Monge

Co-Founder · CEO & CTO

CEO of CXGlobals (15+ yrs), B2B tech demand-gen agency behind campaigns for the world's largest enterprise software brands. Scaling digital marketing, channel programs, and partner ecosystems across NA & LATAM. San José, Costa Rica.

Jake Eisbart, Co-Founder & CMO

Jake Eisbart

Co-Founder & CMO

Channel Engagement Manager at SAP, leading partner enablement across the SAP ecosystem. Co-author of "You Buyin' This?" — a modern playbook on enterprise sales. Previously Nimbl, marketing & SAP talent.

Darren Yetzer, Corporate VP and Director

Darren Yetzer

Corporate VP & Director

Former EVP at CXGlobals; senior leadership stints at Microsoft, Algolia, and Alfresco. Channel, P&L, and demand-gen veteran with deep enterprise GTM playbook. Greater Seattle.

Why three GTM operators could build this: the full working prototype in front of you was shipped founder-led and AI-assisted — no outsourced dev shop, no burned seed round. That's the capital efficiency this round scales: $800K funds two senior engineers plus an additional engineer through 2027, and a founding seller to turn it into a revenue engine — with the founders deferring their own pay. Advisors from SAP · CXGlobals · Salesforce ecosystem · Forrester.
05 · Traction · Pre-Revenue, Further Than Most

We didn't pitch a deck. We built the whole thing.

Most pre-seed teams raise on a wireframe and a thesis. Our proof point is execution velocity — a complete, clickable platform, built and demoable today.

3
role cockpits built & clickable today
Demo'd
closed-loop attribution ledger · live end-to-end
Several
discovery conversations · early verbal design-partner commitments
Expand
land with a team · expand across the org
06 · Business Model & Market

Land with one team. Expand across the org. Lock with the platform.

Two tiers, sold by role. A team lands on the IC and Manager cockpits together — a pilot that proves the ROI. Enterprise then adds the platform owner's signed audit trail.

Enterprise
Custom · + IT

+ Platform cockpit, SLA, signed audit trail. Switching cost: prohibitive.

TAM

Performance Enablement + AI Coaching + Revenue Intelligence · 2026

$54B
SAM

Mid-market orgs (50–1,500 employees) · NA + EU + LATAM

$11B
SOM

5-year obtainable share · 600 logos × $30K blended ACV

$18M

We start in the revenue org — the wedge where the ROI is provable and the buyer is clear. AI-native coaching is growing 38% CAGR.

07 · Path to Seed-Ready

What this $800K buys. Milestone by milestone.

The round funds one transition: from product-building risk to commercialization proof. Product capacity, a dedicated seller and founders who defer their own pay — so the seed is raised on evidence, not promise. Milestones below are the Base case; the plan starts in January 2027.

Jan–Mar 2027
Build
Start · hire 2 senior engineers + an additional engineer through October, funded by deferred founder pay · founding seller hired in March
Apr–Jun 2027
Sell
Production MVP ships · IC + Manager cockpits with one CRM integration · seller ramps · first paying customers
Jul–Sep 2027
Seed-ready
Seed-ready in August · ≥8 paying customers · ≥$150K ARR · attribution ledger validated on real customer data
Oct 2027–Apr 2028
Prove
Repeatable GTM · seller at full ramp · ~27 customers and ~$540K ARR by April 2028 · burn after revenue near break-even
May 2028+
Seed raise
Raise ~$2.5–3M seed from demonstrated traction · ~$275K still in the bank · scale GTM · SOC 2
Seed-ready · Base case
Aug 2027
Customers · Oct 2027
~13
ARR · Apr 2028
~$540K
Cash · Apr 2028
~$275K
Where every dollar goes — line by line

Almost half funds engineering: two senior engineers hired in Costa Rica / LATAM, where the founders' network runs deep and senior comp goes roughly 2× further than the US, plus an additional engineer from January through October 2027. The founders defer their own pay — Marco draws $5K a month from July 2027, Jake $3K and Darren $2K from November 2027 — and every dollar that frees up goes into engineering. The rest builds the revenue engine: a founding seller from March 2027 and the go-to-market budget behind them. No agency spend, no SOC 2 until there's revenue to justify it.

Line item Purpose Amount % of round
Engineering · 44% · $351K
Senior Engineer · Backend (1)Prototype → production, loop infra, first CRM integration · 16-mo, LATAM-based$135K17%
Senior Engineer · ML/AI (1)The coaching model + the closed-loop attribution engine · 16-mo, LATAM-based$130K16%
Additional engineerFunded by deferred founder pay · January–October 2027 (≈10.6 engineer-months)$86K11%
Founder Pay · Deferred · 10% · $80K
Founder payMarco $5K/mo from July 2027 · Jake $3K and Darren $2K/mo from November 2027 · revised once all three are full-time with paying customers$80K10%
Founding Seller · 19% · $154K
Founding seller (1)Hired March 2027 · ramps to 1.5 new customers/month · fully loaded$154K19%
GTM & Design Partners · 18% · $145K
Design-partner landingPilot onboarding, founder-led sales, light content$40K5%
Outbound toolingEnrichment, sequencer, CRM for our own pipeline$25K3%
Pipeline programsEvents, travel, content behind the seller$80K10%
Infrastructure & AI · 6% · $50K
Cloud + AI inferenceAWS, Anthropic/OpenAI API, vector DB$38K5%
ToolingGitHub, Linear, Notion, Stripe$12K1%
Legal & Ops · 3% · $20K
Legal · incorporation, SAFE, contractsMSA + DPA templates, data-privacy baseline$20K3%
Total 16-month operating plan · January 2027 – April 2028 $800K 100%
We're Raising · Pre-Seed · For a January 2027 Start
$800K

on an $8M post-money SAFE — ≈10% at conversion — to take the product to production, add an engineer, hire a founding seller, and reach seed-ready by August 2027 in the Base case.

Meet your KPIs.
Exceed them.
Prove every move.

We've already built the prototype the whole way through. This round turns it into a product — the AI companion that helps every user meet and exceed their KPIs, and proves it.

Request Diligence Room → Explore the Prototype
sales@kpicons.com · +1 (206) 960-4240 · kpicons.com
09 · Terms & Diligence

The terms — and the numbers under them.

Clean cap table, no debt, a single instrument at a single cap. Every figure below comes from our 24-month operating model, which reconciles line-for-line to the use-of-funds table in the previous section. We underwrite to the Base case; question 07 shows the Downside and Upside.

01

What is the company worth once the plan is executed?

The Base case is built to earn a seed priced well above our $8M cap: seed-ready by August 2027, ~$540K ARR by April 2028, and ~$275K still in the bank.

The model carries a $12M seed price — the conservative end. Here is what an $800K investment at our $8M cap becomes as the seed price rises with traction:

Seed prices atStake after seedWorthOn paper
$12M — model assumption6.72%$806,0001.01×
$15M7.13%$1,070,0001.34×
$20M7.55%$1,510,0001.89×

These figures are net of the standard 12% employee share pool, which is created before the new money and dilutes the founders and the earlier investor — not the incoming one. We show it because it materially changes the answer.

02

What is the burn rate?

$50,250 a month at full plan — and burn after revenue falls to near break-even by April 2028.

Two senior engineers in Costa Rica, a founding seller from March 2027, plus go-to-market, infrastructure and legal. Founder pay starts in July 2027 (Marco) and November 2027 (Jake and Darren); until then, the money it would have used funds an additional engineer. Burn peaks at $55,000 in November 2027, as the additional engineer finishes and the founders' pay is fully on, then settles at $50,250.

Base caseCustomersARRBurn after revenue
Apr 2027 · first customers1$20,503$46,666/mo
Jul 2027 · seller ramped · Marco's pay starts7$123,576$43,077/mo
Aug 2027 · seed-ready8$157,826$40,223/mo
Apr 2028 · end of plan27$536,999$5,500/mo

Burn steps up again at the seed when we hire beyond the founding team. The model shows that transition explicitly rather than burying it — today's figure is not the run-rate for the round after this one.

03

What is the capital structure?

Ordinary shares only. No preferred stock, no debt, no prior rounds — a clean cap table.

The raise is a post-money SAFE: money in now, converting at the agreed cap at the next priced round. Until conversion it is a right to shares, not shares. On conversion it becomes Series Seed Preferred with the customary 1× non-participating liquidation preference — capital returned first in a sale.

HolderTodayAfter $2.5M at $12M
Founders — ordinary100%60.5%
Seed investor — preferred—20.8%
Employee share pool—12.0%
This round, converted10.0%6.7%
DebtNoneNone

Founders at 60.5% after the seed is the healthy range — enough ownership to stay motivated through a Series A. We run a single instrument at a single cap by design, on the standard post-money SAFE with no custom economics; pro-rata rights go in a side letter for meaningful lead checks only. No interest, no maturity date.

04

How does an investor realise a return?

Acquisition by a larger platform in five to seven years. We own the attribution layer none of them have.

The buyers are the systems we already connect to: Salesforce, Microsoft, HubSpot, Gong, Salesloft/Outreach, Seismic, SAP. Every one of them records what a seller did. None can prove which coaching moved the number. That record is the asset, and it is the reason this is an acquisition target rather than a feature.

At roughly 4.0% after a seed, Series A and Series B:

Sale price$800K position worthReturn
$50M acquisition$2.02M2.5×
$100M acquisition$4.03M5.0×
$150M acquisition$6.05M7.6×
$300M acquisition$12.09M15.1×
Modeled rangeExit values and the 40% further-dilution figure are modeled as ranges, not predictions. Substitute your own inputs and the returns recalculate in the workbook.
05

How did you arrive at the price?

We priced at an $8M post-money cap: $800K buys 10% at conversion. Simple math, one instrument, no discount.

The cap reflects what most pre-seed companies don't have: a working product. We have one. Three role cockpits, the AI coach with four voices, and the closed-loop attribution ledger — built, clickable, and shipped founder-led before any outside capital.

We kept it there deliberately. Bringing in the right early investors at an unambiguously fair price is worth more to us than the last point of dilution, and a single cap keeps the table clean for the seed.

Available on requestComparable transactions — stage, date, revenue and post-money — sourced from PitchBook and Carta, so every figure we quote is citable.
06

Is there a financial model?

Yes — 24 months, monthly, as a working spreadsheet rather than a static slide.

Revenue is driven by selling capacity — founder time and the founding seller — not typed in. The workbook carries an Investor Summary, a Downside / Base / Upside dashboard, modeled unit economics (Base case: ~$11.6K CAC, ~8-month payback), a Proof Tracker of what we must prove before the seed, and every driver in its own labelled cell. Change one assumption and the whole model recalculates.

Cost lines reconcile to the full $800,000 from January 2027 to April 2028 — the same figures as the use-of-funds table above, to the dollar. Whatever deferred founder pay frees up is reinvested in engineering, never left idle.

Key assumptionA ramped seller closes 1.5 new customers a month — about $320K of new ARR a year at our $17,940 entry contract. It is the assumption we expect you to test, and the model is built so you can.
07

What if it takes longer than planned?

The $800K is sized so the Downside still reaches seed-ready — by November 2027 — and no case runs out of cash through December 2028, even with no seed.

Base wins three-quarters of the planned customers, two months late, with 1.5% monthly churn. Downside wins half, three months late, with 2% churn. Upside is the original plan.

$800K raiseDownsideBaseUpside
Seed-readyNov 2027Aug 2027Jun 2027
Customers · Oct 202771320
ARR · Apr 2028$318K$537K$845K
Cash · Apr 2028$163K$276K$451K
Lowest cash · through Dec 2028$82K$275K$410K

Built with a buffer: even in the Downside, cash never drops below $82K. A slower start delays the seed — it does not put the company at risk. The founding seller is what turns the capital into a revenue engine.