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Capacera · Decision-Native Intelligence
Remove Friction.
Restore Momentum.
Video coming soon
The Problem

Massive investment in data.
Little clarity. Low ROI.

Enterprises invest billions in analytics, ERP, and AI copilots. Critical decisions still require manual synthesis, cross-functional interpretation, and spreadsheet reconciliation.

Today's reality
✕Massive data investment yields little decision clarity or ROI
✕Decisions still require scarce human expertise to interpret context
✕Traditional consulting can't match the pace of modern business change
What leaders actually need
✓Holistic operational view with natural language interface
✓Answers in context — without interrupting work or requiring expert interpretation
✓Scenario modeling in minutes, with governance and accountability built in
The Insight

The problem is structural,
not technological.

More data tools and smarter copilots don't fix an architectural mismatch. The systems don't fail because they're bad — they fail because they're pointed in the wrong direction.

How decisions are made — Top-Down Objective → Cross-functional synthesis → Context → Signal extraction → Action
↕
The Gap — No system bridges this
Capacera
Decision-native intelligence layer
↕
How systems are built — Bottom-Up Data → Aggregation → Dashboards → Analytics → AI tools
The opportunity: Build the system that starts with the decision — not the data. That system doesn't exist. Capacera is building it.
The Solution

Decision-native
enterprise intelligence.

Instead of asking "what does the data tell us?" — Capacera asks "what must be true for this decision to improve value, profit, or impact?" then retrieves only the signals required.

Start here
The Decision
Extract
Decision-relevant signals only
Apply
Benchmarks + AI reasoning
Output
Confidence + recommended action
Year One
Valuation intelligence
Fast, decision-ready diligence signals for M&A, PE, and growth-stage operators.
Year Two
Strategic decision layer
AI-augmented decisions across operations, finance, and transformation — no clean data required.
Year Three
Executive interface
The trusted system executives use to monitor business health and make decisions at enterprise velocity.
Product

We enter through
Vantage.

Vantage runs structured diagnostic assessments (Frictionless Physicals) across every operational dimension of a business — each one assessed, benchmarked, and feeding the valuation intelligence layer.

Technology · Infrastructure & TCO coming● Diagnostic Live
Process & Workflow · AI & Automation comingQ3 2026
FinanceQ3 2026
SalesQ4 2026
HRQ1 2027
Operations · Project, Product, Supply Chain, ManufacturingQ2 2027
Frictionless Overview — Unified valuation signal Phase 2
✓Works with messy, fragmented data — messiness is a signal, not a blocker
✓Each module benchmarked against companies with similar size and industry profiles
✓Design Partners get every new module at beta launch
Use Case

A PE firm evaluating
a $200M acquisition.

Without Capacera
✕3–6 months of data gathering from fragmented systems
✕$200K+ in consulting fees before a recommendation
✕Technology and operational risks frequently missed entirely
With Capacera's Vantage
✓Target assessed across all operational dimensions in hours — before committing to full diligence
✓Results benchmarked against comparable transactions and company profiles
✓Buyer enters the process knowing exactly where the risk is — and what questions to ask
The ROI
10×
faster to decision-ready signal
90%
reduction in data preparation cost
Why Now

Two shifts have
converged.

Shift 01 — AI Maturity
AI can now handle messy data.
LLMs can synthesize incomplete, contradictory, multi-system data into coherent decision signals. The technical barrier that blocked this category is gone.
Shift 02 — Market Pressure
Deal velocity is accelerating.
PE deal cycles are compressing. Leaders must act faster with higher stakes. A 6-month consulting engagement is no longer compatible with how decisions actually get made.
The window: Technical capability and market pressure have converged. The category is open now.
Market

Horizontal opportunity.
Vertical entry point.

M&A / Valuation beachhead$1.9T
Consulting + decision-support$1.1T
Enterprise ops + transformationHorizontal
→10,000 acquisitions/year · 3,000 PE firms · 6,000 VC firms
→3M+ consulting firms serving clients making exactly these decisions
→36M+ small businesses validating demand and feeding benchmark data at scale
Competition

Every existing category
stops short.

Three failure modes — each one creates the gap that Capacera fills. None of them start with the decision.

Discovery Adjacent
Celonis · SAP Signavio · IBM
Process visualization. Requires clean data and expert interpretation. Produces insights — stops before the decision.
We focus on decision-readiness, not visualization.
Orchestration / Automation
UiPath · Power Automate · SAP
Task automation. Requires fully documented processes. Tool-native, not decision-native. No accountability loop.
We bridge discovery → decision → action.
Agent Platforms
Agentforce · Copilot Studio · ServiceNow
Agent creation. Requires expertise and clean data. High cost, low adoption. No governance or benchmark layer.
Frictionless sits above and orchestrates these.
The positioning: Tool-first. Consulting-first. Platform-first. All three require clean data or expert interpretation. Capacera is decision-first — the only approach that starts where executives start.
Moat

The more decisions run through Capacera,
the stronger it gets.

The benchmark data compounds. Every diagnostic run contributes proprietary operational intelligence that no competitor can replicate without years of structured collection at scale.

Grounded in reality
Works with incomplete, fragmented data. Messiness is a signal — not a blocker.
Single operating loop
Discovery → Decision → Action. Most platforms do one well. Capacera closes the full loop.
Proprietary benchmarks
Operational performance data that doesn't exist in structured form anywhere. Compounds with every run.
Safe, useful AI
Bounded by decision context. Governed. Benchmark-informed. Safe for enterprise deployment.
The Founder

25 years seeing this problem
from the inside.

Merrill Lynch
USSTRATCOM
ODNI
HQ USAF
MDA
Whirlpool
Novant Health
→25 years developing systems and leading enterprise-scale technology adoption — public and private sector
→Built systems that continue delivering value long after departure — the definition of durable infrastructure
→$40M in verified savings, 75% labor reduction — delivered across multiple organizations
"I've seen AI, data, acquisitions, and transformation done poorly — repeatedly. A fixer for 25 years; I'm resolved to build a better way."
— Shana, Founder & CEO · Engineer · Operator · Systems Designer · Enterprise Architect
Advisory Team

Enterprise and AI expertise
across every critical dimension.

TJ
Business · M&A
35-year global ops executive. Formerly Amazon, Skype, eBay. M&A integration experience.
Aaron
Business · Startups
Startup funding strategist and tech-policy expert. UC Davis Startup Center. Seed structuring.
Antonio
Technical · AI & Architecture
Fortune 100 enterprise architect and AI specialist. Scalable AI-enabled systems.
Andres
Technical · Data & Security
25-year IT resilience and data analytics. Security and compliance posture for enterprise.
Roadmap

Series A ready
in 18 months or less

Now → 6 months
Build
Phase 2 engineering begins at seed close
3–5 design partners onboarded
SOC 2 Type I certification
6 → 12 months
Convert
Paid enterprise pilots live
SOC 2 Type II certification
Case studies from design partners
12 → 18 months
Series A Ready
$300K+ ARR · 15+ customers
100%+ NRR demonstrated
Repeatable GTM motion established
$300K+
ARR at month 18
15
Enterprise customers
100%+
NRR target
$2–3M
Series A target
$12–15M post
The Ask

Raising seed to build
the enterprise layer.

The ask
$750K
minimum · $1.2M ideal · Priced seed equity
Phase 2 engineering — lead developer + mid-level from month 7
SOC 2 Type I + II — Vanta + audit firm
Founder salary — 18 months, deferred pre-seed
The offer
Early ownership — priced seed equity before Series A run-up
AI in your portfolio — purpose-built, not a copilot wrapper
Shape product direction — design partner access and use case input
Series A — 18 months
$2–3M at $12–15M post-money