Cominty — Promo Video v5

From natural language
to advanced production

Strategy

Finance

Legal

Marketing

Code

Engineering

cominty.ai

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☆ Dossier Content Inquiry

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▶ Competitive Analysis Q2

Series A Financial Model

Accenture MSA Review

MS

Mira Shah

Comexplore

Thinking...

Competitive analysis complete. Cominty leads on agentic autonomy and document intelligence. Key gap: Microsoft's M365 integration moat. Strategic recommendation: focus enterprise GTM on teams already using Notion/Notion AI — highest win rate at 68%.

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📊 Competitive Intelligence — Cominty vs Market Live report

Capability	⬡ Cominty	ChatGPT Ent.	MS Copilot	Notion AI
Autonomous agents	★ Leader	Partial	Partial	Basic
Document intelligence	★ Leader	Partial	Strong	Limited
Web search / RAG	Native	Native	Native	None
Code generation	Strong	Strong	Partial	None
Integrations	100+ native	API only	M365 deep	Limited
Price / seat / mo	$49	$60	$30+M365	$20
Agentic mode	Full	Beta	Limited	None

← Enterprise

Leader →

Niche

Challenger

CO

GPT

MS

NO

📍 Positioning Map

● Cominty — Agentic leader, enterprise-grade

● ChatGPT Ent. — Strong brand, limited agency

● MS Copilot — M365 moat, catching up

● Notion AI — Docs-only, weak agents

🏆 Win rate vs Notion AI: 68%
Focus GTM on Notion AI migrators

Thinking...

Investor deck complete — 14 slides with executive summary, TAM/SAM/SOM breakdown, traction slide showing 3× MRR growth, competitive moat analysis and detailed use-of-funds breakdown.

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📑 Cominty Series A — Investor Deck.pptx 14 slides

COMINTY · SERIES A

Agentic AI

MARKET

$12B TAM

PRODUCT

TRACTION

TEAM

COMINTY · SERIES A · 2026

Agentic AI
for Work

Autonomous agents that plan, execute and deliver

3×MRR Growth

$12BTAM

$8MAsk

MRR$284K

ARR$3.4M

NRR118%

Customers247

📎 Q1_Actuals.xlsx — SharePoint

Thinking...

Financial model complete. Base case: $7.8M ARR by end of 2027, 18-month runway post-raise. Bull case hits $12.4M ARR. Key metric: LTV/CAC at 8.4× — strong unit economics for institutional investors.

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📊 Financial_Model_Series_A.xlsx 6 tabs · 36 months · 3 scenarios

P&L

Unit Economics

Cohort

Scenarios

Runway

Summary

Metric	Jan 25	Feb 25	Mar 25	Bear Apr	Bear May	Base Apr	Base May	Bull Apr	Bull May	Q3 Proj	Q4 Proj
MRR ($K)	187	204	221	228	235	246	268	264	298	284	310
ARR ($K)	2244	2448	2652	2736	2820	2952	3216	3168	3576	3408	3720
New MRR	28	31	29	24	26	34	38	42	48	41	44
Expansion MRR	14	18	16	12	14	18	20	24	28	22	26
Churn MRR	-8	-11	-9	-12	-13	-7	-6	-5	-4	-8	-7
NRR %	112%	115%	116%	108%	109%	118%	120%	124%	128%	118%	122%
Customers	198	211	224	230	236	247	261	258	278	261	284
CAC ($)	2100	1980	1940	2200	2180	1820	1780	1620	1540	1760	1680
LTV/CAC	7.2×	7.8×	8.1×	6.8×	7.0×	8.4×	8.7×	9.2×	10.1×	8.4×	8.9×
Gross Margin	74%	75%	76%	72%	73%	77%	78%	79%	80%	78%	79%

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▶ Accenture MSA Review

Competitive Analysis Q2

Series A Financial Model

MS

Mira Shah

Comexplore

📎 Accenture_Partnership_MSA_v3.pdf

Thinking...

Analysis complete. 3 high-risk clauses flagged: unlimited liability cap (§8.2), IP ownership ambiguity (§12.1), and one-sided termination rights (§15.3). Redline generated with 8 recommended changes.

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📄 Accenture_Partnership_MSA_v3.pdf — Risk Analysis 3 HIGH RISK

📄 Agreement Text — Page 12 of 84

SECTION 8 — LIABILITY AND INDEMNIFICATION

8.1 Each Party shall indemnify, defend, and hold harmless the other Party from and against any claims, damages, losses, costs and expenses arising out of or related to such Party's breach of this Agreement.

8.2 Notwithstanding the foregoing, Accenture's total aggregate liability shall be unlimited for claims arising from gross negligence or willful misconduct, with no cap applicable to direct damages.

8.3 Neither Party shall be liable for indirect, incidental, or consequential damages except as provided in Section 8.2.

SECTION 12 — INTELLECTUAL PROPERTY

12.0 Pre-existing IP shall remain with the originating Party. Derivative works developed jointly shall be owned as agreed in Schedule C.

12.1 All work product, deliverables, and innovations created during the engagement shall be considered work-for-hire and ownership shall vest in Accenture unless otherwise specified in a separate written agreement.

SECTION 15 — TERMINATION

15.3 Accenture reserves the right to terminate this Agreement immediately upon written notice for any material breach, with cure period at Accenture's sole discretion.

⚠ Risk Analysis

🔴 HIGH RISK

Unlimited liability cap

§8.2 — No cap on direct damages

🔴 HIGH RISK

IP ownership ambiguous

§12.1 — Work-for-hire overreach

🔴 HIGH RISK

One-sided termination

§15.3 — No mutual cure period

🟡 MEDIUM

Non-compete scope

§9.1 — 24mo vs industry 12mo

🟢 LOW

Confidentiality terms

§11 — Standard, acceptable

✏ Redline ready
8 suggested changes generated

Thinking...

5-email sequence live. Workflow targeting CFO fintech contacts — 847 in CRM. Email 1 open rate benchmark: 34%. A/B test set for subject lines on emails 2 and 4.

Ask anything...

⬡ HubSpot — CFO Fintech Q2 Sequence ● LIVE 847 contacts

📧 Email 1 — Day 0

⬡ HubSpot Live

"The CFO's hidden cost of manual financial reporting"

From: Mira Shah <mira@cominty.ai> · To: {contact.firstname} {contact.lastname}, CFO at {company}

Hi {contact.firstname},

Finance teams at Series B fintechs like {company} spend an average of 14 hours/week on manual reporting that AI can do in minutes. I know because we've seen it firsthand with CFOs across the sector.

Cominty's agentic AI builds your complete P&L, cohort analysis, and board reports autonomously — pulling live from Stripe, HubSpot, and your ERP...

📊 Workflow — ABM Nurture Sequence

📧 Email 1

→

3 days · no reply

→

📧 Email 2

→

5 days

→

📧 Email 3

→

7 days · A/B test

→

📧 Email 4

→

5 days

→

📧 Email 5

Email 1

Open rate: 34% proj.

Sequence

Reply rate: 8.2% proj.

A/B Test

Emails 2 & 4 subject

Thinking...

Executive dashboard ready — 6 panels live. MRR at $284K (+12% MoM), NRR 118%, CAC payback 8.2 months. Best channel: Partnership at $980/customer. 90-day forecast: $318K MRR (base case).

Ask anything...

📈 Executive Dashboard — Week of May 11, 2026 Live · Stripe + HubSpot

MRR

$284K+12%

ARR

$3.4M+18%

NRR

118%+2pp

CAC Payback

8.2mo▼1.3

MRR Waterfall

New
+$41K

Exp.
+$22K

Churn
-$8K

Contr.
-$4K

Net
+$51K

CAC by Channel

Outbound

$4,200

Event

$2,400

Content

$1,800

Partner

$980

Cohort Retention

Cohort

M0

M1

M2

M3

M6

M9

M12

Q1'25

100

91

86

82

76

71

68

Q2'25

100

93

88

84

79

74

—

Q3'25

100

94

90

86

81

—

EBITDA Margin

Q1

Q2

Q3

Q4

+18pp YoY

90-Day MRR Forecast

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▶ Auth Microservice

Executive Dashboard

Accenture MSA Review

MS

Mira Shah

Comexplore

Thinking...

Auth microservice complete. JWT RS256 with 15-min access tokens, 7-day refresh rotation, Redis-backed sessions. Rate limiter using sliding window algorithm. Fully typed TypeScript, Docker + Kubernetes manifests included.

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● auth-service / src 8 files · 842 lines · TypeScript

oauth.ts

jwt.service.ts

rateLimit.ts

Dockerfile

// src/auth/oauth.ts — OAuth2 Authorization Code Flow
// RS256 JWT with refresh token rotation · Redis session store

import { Request, Response, NextFunction } from 'express';
import { signJWT, verifyJWT, rotateRefreshToken } from './jwt.service';
import { redisClient } from '../config/redis';
import { rateLimiter } from '../middleware/rateLimit';
import { auditLog } from '../services/audit';

const ACCESS_TOKEN_TTL  = 15 * 60;        // 15 minutes
const REFRESH_TOKEN_TTL = 7 * 24 * 60 * 60; // 7 days
const RATE_LIMIT        = 100;              // req/min sliding window

export async function authorize(
  req: Request,
  res: Response,
  next: NextFunction
): Promise<void> {
  try {
    await rateLimiter(req, res, RATE_LIMIT);

    const { code, state, redirect_uri } = req.query;
    const storedState = await redisClient.get(`oauth:state:${state}`);

    if (!storedState) {
      await auditLog('OAUTH_STATE_MISMATCH', { ip: req.ip, state });
      res.status(400).json({ error: 'invalid_state' });
      return;
    }

    const accessToken  = await signJWT({ sub: userId, scope }, ACCESS_TOKEN_TTL);
    const refreshToken = await rotateRefreshToken(userId, REFRESH_TOKEN_TTL);

    await redisClient.setex(
      `session:${userId}`,
      REFRESH_TOKEN_TTL,
      JSON.stringify({ accessToken, refreshToken, lastRotated: Date.now() })
    );

    await auditLog('AUTH_SUCCESS', { userId, ip: req.ip });
    res.json({ access_token: accessToken, token_type: 'Bearer' });
  } catch (err) {
    next(err);
  }
}
                  

Thinking...

Landing page complete — 580 lines, conversion-optimized. Hero with social proof from 12 enterprise logos, feature comparison, pricing table and demo CTA with A/B variant ready.

Ask anything...

🌐 cominty_enterprise.html — Live Preview 580 lines · Responsive

cominty.ai/enterprise

Enterprise AI · 247 companies trust Cominty

The AI that works
for your team

Autonomous agents that plan, execute and deliver — across strategy, finance, legal, marketing and engineering

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Everything your team needs

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Autonomous Agents

Plan, execute and deliver complex tasks end-to-end

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Connect any data source, get instant insights

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Enterprise Security

SOC2 Type II, GDPR, SSO and audit trails

Your Agentic AI for Work

Autonomous agents that plan, execute and deliver.

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