Confidential · Seed Round Investment Memorandum

Sunlight Corporation · Series Seed

The Layer Between
Every Organization's
Intent and Execution

The first platform to capture, reason across, and govern the complete organizational intent graph — a category that does not yet exist, representing a ₹12745Cr+ total addressable market.

10

Intent Layers

No competitor covers >3

₹12745Cr

Total TAM

Across all 10 layers

0 / 10

Incumbent Coverage

Full coverage by any player

6–18mo

Lead Time

Predictive vs retrospective

This document contains forward-looking statements and proprietary information.
Not for distribution without written consent of Sunlight Corporation.

Sunlight

Corporation

Section II

The Core Thesis

Four assertions that define the category

01

Organizations don't fail for lack of intelligence.

They fail because their intelligence cannot translate into correct action fast enough to outrun the consequences of delay. The gap between what an organization knows and what it acts on is where organizational value is destroyed.

02

Every enterprise platform optimizes for the wrong unit.

Communication, workflow, storage, analytics — all optimize for individuals or departments. No platform has ever taken the organization itself as the atomic unit of analysis. Sunlight does.

03

The organizational intent graph has never been captured.

What the organization is trying to accomplish, what rules it lives by, how it authorizes action, what it is building, who communicates with whom — simultaneously, in real time. This has never been systematically captured at scale. Until now.

04

DTVC is the governing metric that makes this actionable.

Decision Throughput Under Valid Constraints — the rate at which an organization converts signals into valid, policy-compliant, high-impact decisions — is the control variable that produces organizational performance as an emergent consequence.

The Governing Formula

DTVC = Σ ( impact_weighti × valid_decisioni ) / time

valid_decision ≡latency ≤ SLA ∧ accuracy ≥ threshold ∧ policy_compliant = true

→ Latency → Speed of organizational response

→ Accuracy → Quality of organizational judgment

→ Compliance → Integrity of organizational governance

Section III

The Market

Ten intent layers — zero full coverage by any incumbent

7%

Google

30%

Microsoft

7%

Salesforce

23%

SAP

17%

Workday

7%

The Structural Threat Formula

Three conditions that must be simultaneously true

CONDITION 01

Epistemological Lock-in

Switching cost exceeds replacement value

The Organizational Memory Graph must know the organization better than any replacement could — even with unlimited budget and time. This is not feature lock-in. It is epistemological lock-in. The system understands organizational context accumulated over years of decisions, policy invocations, goal trajectories, anomalies, and outcomes that cannot be transferred, exported, or reconstructed.

Implementation

Every interaction with Lighthouse, Oracle, Axiom, and Vector writes to the OMG. Every decision made, every policy invoked, every goal missed — permanently attributed, immutably stored, causally linked. A competitor starting from zero cannot buy three years of organizational memory.

CONDITION 02

Critical Path Embedding

Removal breaks simultaneous workflows

When removing Sunlight breaks workflows in Microsoft 365, Slack, GitHub, SAP, and Workday simultaneously — Sunlight is infrastructure. Not a product a CTO evaluates. A dependency a CTO inherits. When Workday needs to enforce a policy, it calls Axiom. When GitHub needs organizational goals, it queries Vector. When Slack surfaces intelligence, it reads Lighthouse.

Implementation

Every integration is designed so that the integrating system's capability degrades without Sunlight. Not loses a feature. Cannot perform a core function. The canonical organizational truth layer — the system that other platforms query, not compete with.

CONDITION 03

Exclusive Data Ownership

Organizational intent data that no one else can produce

Not user data. Not transaction data. Organizational intent data — what the organization is trying to accomplish, at every layer, in real time. Six layers of intent simultaneously. The complete intent graph of an organization. Not just what individuals want, but what the collective organism is trying to become.

Implementation

At scale across thousands of organizations, the cross-organizational benchmark network becomes the most valuable organizational intelligence dataset ever built. No competitor can replicate this without starting from zero, waiting 5–10 years for signal to compound, and solving the cross-function integration problem from scratch.

Signal Density Formula

Signal Density =
  (Data Sources × Org Layers × Time Embedded)
  ÷ Replication Cost

At Year 5 of deployment, the replication cost is effectively infinite at any reasonable competitor resource level. The moat is not the algorithm. It is the years of decisions, policies, goals, and outcomes stored in the OMG — data that cannot be purchased, imported, or generated retroactively.

Why It Is Unreplicable

Breadth

All org functions simultaneously

No point solution sees cross-functional patterns

Depth

Policy + goal + ops simultaneously

No platform reaches all three at once

Time

Compounding organizational memory

Cannot be bought or accelerated

Cross-org

Benchmarks across all customers

Each new customer enriches all others

Causality

Decision → policy → outcome chains

Cannot be reconstructed retrospectively

"When GPT-4 launched, it had been trained on more text than any human could read in 10,000 lifetimes. The OCE, trained on more organizational behavior data than any consultant could observe in 10,000 careers, becomes the most authoritative organizational intelligence system ever built."

— The Cross-Organizational Intelligence Layer: the nuclear weapon in the arsenal

Section V

The OCE Architecture

Five interlocking reasoning layers — the organizational prefrontal cortex

LAYER 5

PREDICTIVE REASONING

"What will break before it breaks"

Anomaly prediction · Goal-risk modeling · Cascade mapping

LAYER 4

NORMATIVE REASONING

"What should happen given policy & goals"

LAYER 3

CAUSAL REASONING

"Why is this happening in this org"

LAYER 2

CONTEXTUAL REASONING

"What does this mean for THIS org"

LAYER 1

OPERATIONAL REASONING

"What is happening right now"

ORGANIZATIONAL MEMORY GRAPH (OMG)

The compounding data moat — every decision, policy, goal, anomaly, and outcome — append-only, immutable, cryptographically chained

Layer 5 Detail

PREDICTIVE REASONING

What It Does

Transforms normative deviations + historical precedents into ranked risk predictions with probabilities, cascade maps, and specific intervention recommendations.

The Key Insight

Cross-org benchmark network: across 500 organizations, predicts organizational failure before it manifests. The ChatGPT moment for organizational intelligence.

DTVC Integration

Produces the PredictionSurface that feeds DTVC proactive capacity planning — anticipating decision demand before signals force it.

Section VI

Three-Horizon Roadmap

Sequential compounding — each horizon funds and justifies the next

0
18mo
84mo

H1

Become the Organizational Truth Layer

0 – 18 Months

Objective

Make Sunlight the system of record for organizational operational reality.

Governing Actions

→Deploy Lighthouse as canonical monitoring across ALL org functions — not just infrastructure, but hiring pipelines, project velocity, policy compliance, and goal progress simultaneously

→Every other system in the org stack reports into Sunlight, not the reverse

→Begin building the OMG — every decision, exception, outcome tagged and stored

→Position each product so that its removal degrades the connected systems it serves

Success Metrics

✓50 deployed organizations

✓OMG fidelity: >80% decision coverage

✓Signal sources: >5 per org

✓DTVC baseline established for all orgs

Kill Criterion

If after 12 months Sunlight is still positioned as one dashboard among many, the substrate play has failed. Redesign the embedding model before scaling.

H2

Activate the Network Effect

18 – 42 Months

Objective

Make cross-organizational intelligence the primary value driver — each new customer makes all existing customers smarter.

Governing Actions

→Launch the Sunlight Benchmark Network — anonymous, aggregated cross-org intelligence no customer can access without contributing their own data

→Shift pricing from per-seat to organizational intelligence subscription — value tied to insight depth, not user count

→OCE surfaces predictions, not just monitoring: 'Based on 400 similar organizations, your current pattern predicts a hiring crisis in Q3'

→Cross-org patterns become the product: what anomaly signatures precede a 40% revenue miss

Success Metrics

✓500 deployed organizations

✓Benchmark network: >25 orgs per cohort

✓Cross-org prediction accuracy >65%

✓Intelligence subscription >60% of revenue

Kill Criterion

If cross-org benchmarks are not producing measurably better decisions than single-org data by month 36, the network effect thesis is failing. Acquire missing data through strategic partnerships.

H3

Become the Organizational Economy

42 – 84 Months

Objective

Sunlight becomes the platform on which organizational intelligence is bought, sold, and deployed.

Governing Actions

→Sunlight Marketplace: third-party agents, analysts, consultants build on OCE via API — the AppExchange for organizational intelligence

→Sunlight Capital Intelligence: organizational performance data connected to capital markets — higher Sunlight scores access better financing

→Sunlight Network: organizations find partners, talent, and suppliers based on operational compatibility scores — actual operational alignment, not LinkedIn profiles

→At this stage, Sunlight is not software. It is the economic infrastructure organizations run on.

Success Metrics

✓5,000+ organizations

✓Marketplace GMV >₹500Cr/yr

✓Capital Intelligence partnerships: 3 tier-1 firms

✓Network matching: active in 10+ markets

Kill Criterion

N/A — H3 is the destination. Every H1 and H2 kill criterion is designed to prevent arriving at H3 with the wrong architecture.

Section VII

Valuation Framework

Five simultaneous frames — no single frame; all five together

Frame I

The Market Cap Anchor

Frame II

The Replacement Cost Frame

Frame III

The Timing Asymmetry Frame

Frame IV

The Data Asset Frame

Frame V

The DTVC Projection Model

Frame I

The Market Cap Anchor

Anchor up to systems Sunlight supersedes

Microsoft (enterprise intelligence)

~$1.24T

40% of $3.1T market cap

Salesforce (system-of-record value)

~$174B

60% of $290B market cap

SAP (organizational operations)

~$175B

70% of $250B market cap

Workday (HR/Finance ops)

~$48B

80% of $60B market cap

ServiceNow (workflow intelligence)

~$114B

60% of $190B market cap

Conclusion

Total enterprise value Sunlight sits above: ~$1.75T. At a 1% take rate of that value: $17.5B. At a $10–20M seed valuation, you are pricing a 0.06% probability that Sunlight reaches $30B. That is not optimistic. At this market scale, it is conservative.

"Every company in this space is asking you to value what they have built. I am asking you to value what cannot be built once the window closes."

The correct conversation is not about the valuation. It is about whether this category will exist — and if so, who owns the infrastructure.

Section VIII

The Ask

What we are raising, how it is deployed, what it produces

Round Size

₹125–165Cr

Seed Round

Pre-Money

₹830–1,000Cr

Valuation

Instrument

Equity

Preference: 1× non-participating

Use of Funds

18 Months

Runway to Series A milestones

Use of Funds

Engineering — OCE Core + OMG45%

Product — Primitives + APIs20%

GTM — First 50 Organizations25%

Infrastructure + Security10%

Milestone Path to Series A

Month 3

OCE v1 deployed. Lighthouse + Vector + Axiom integrated. First OMG data flowing.

Month 6

First 10 organizations deployed. DTVC baseline established. Primitives v1 stable.

Month 12

50 organizations deployed. OMG holds >1M decision events. Cross-org benchmark seeded.

Month 18

Series A ready: ₹75Cr+ ARR, cross-org predictions active, network effect measurable.

The Closing Statement

"Sunlight Corporation becomes a structural threat by owning the layer between every organization's intent and its execution — making the Organizational Context Engine the ground truth that all AI, all software, and all human decisions run on top of."

The organization that maximizes DTVC will dominate those that optimize anything else. The platform that governs DTVC across thousands of organizations will become the most strategically irreplaceable enterprise infrastructure ever built.

Sunlight

Corporation

Organizational Intelligence Infrastructure

Seed Round · 2026

The Layer BetweenEvery Organization'sIntent and Execution

The Core Thesis

Organizations don't fail for lack of intelligence.

Every enterprise platform optimizes for the wrong unit.

The organizational intent graph has never been captured.

DTVC is the governing metric that makes this actionable.

The Market

The Structural Threat Formula

Epistemological Lock-in

Critical Path Embedding

Exclusive Data Ownership

The OCE Architecture

PREDICTIVE REASONING

Three-Horizon Roadmap

Valuation Framework

The Market Cap Anchor

The Ask

The Layer Between
Every Organization's
Intent and Execution