CraftedSoul AI

The AI that knows your business
like you do.

An AI-native operating system for small businesses — email, web, support, and marketing with an adaptive personality engine that builds real relationships with your customers.

0
Million SMBs in the US
$0B
AI Agent Market by 2030
0
% CAGR — SME AI Segment
01 / THE PROBLEM
What's broken

Small businesses are drowning
in tool sprawl.

The average SMB juggles 5–8 separate SaaS subscriptions for marketing, support, web presence, and CRM. None of them talk to each other. None of them sound like the business owner. Every one of them charges $20–$100/month for a fraction of what the owner needs.

$284
Average monthly SaaS spend per SMB — fragmented across disconnected tools
72%
of SMB owners say they lack time to maintain consistent marketing
5–8
separate platforms for email, web, support, social, and analytics
0
of those tools understand the owner's voice, brand, or customer relationships
02 / THE SOLUTION
What we're building

One platform. Five capabilities.
One soul.

CraftedSoul AI is an AI-native operating layer that consolidates the SMB stack into a single intelligent platform — powered by frontier open-source models, grounded in the owner's real business data, and voiced with an adaptive personality engine.

✉️
Email Marketing
AI-generated campaigns, drip sequences, and templates tailored to the business's customer base. Learns from open rates and engagement data.
🌐
Web & Marketing
Strategy recommendations, content generation, SEO guidance, and social presence management — all informed by local market intelligence.
💬
Customer Support
RAG-powered support agent grounded in the business's own knowledge docs, FAQs, policies, and product catalogs. Escalation to human when needed.
🎨
Web Design
AI-assisted landing pages, portfolio sites, and storefronts — generated from conversation, refined through iteration, deployed with one click.
🧬
The Soul Engine
Every interaction is enriched by an adaptive personality layer. It learns the owner's communication style, customer demographics, and brand voice — making every touchpoint feel authentically human.
03 / THE MOAT
Why we win

The Personality Engine is the product.

Every competitor bolts AI onto an existing product. We build AI-first — and the connective tissue is a personality middleware that enriches every LLM call with the owner's voice, their customer context, and their brand DNA.

This isn't a chatbot with a system prompt. It's a living model of the business that gets smarter with every interaction — and it's built by a team with deep expertise in AI humanization, persona simulation, and anti-generic-output systems.

Defensibility Stack
L1: Business Knowledge Graph — RAG over owner's docs, interactions, and customer data. Gets richer over time.
L2: Personality Model — Communication preferences, style markers, demographic-derived tone. Not a static prompt — adaptive middleware.
L3: Switching Cost — The longer they use it, the more the AI "knows" them. Leaving means losing institutional memory.
L4: Model Abstraction — We're model-agnostic. As better/cheaper OSS models emerge, we swap transparently. The personality layer is ours.
04 / THE MARKET
Market opportunity

SMBs are the fastest-growing AI segment.

AI Agent TAM 2030
$100B
SME AI Segment
$35B
Email + Support SaaS
$22B
Our SAM (Year 3)
$800M
Key Signals
→ AI agent market: 46% CAGR through 2030
→ SME segment: 29% CAGR — fastest growing
→ 53% of SMB owners report improved CX from AI
→ Email marketing remains top-ROI channel (Gartner 2025)
→ SMBs want unified platforms — hate tool sprawl
TAM: $100B
Total addressable AI agent market by 2030. We participate in the SMB vertical across email, support, web, and marketing automation.
SAM: $4.8B
US small businesses (1–50 employees) actively purchasing AI-powered marketing and support tools. ~8M potential businesses × $50/mo avg.
SOM: $800M (Year 3)
Achievable serviceable market: 10,000 customers at $59/mo blended = $7M ARR. 1% SOM penetration within 3 years, scaling to $800M opportunity at 5% capture over 5 years.
05 / BUSINESS MODEL
Pricing architecture

SaaS subscriptions. 93–97% gross margins.

LLM inference costs are nearly negligible at $0.85/customer/month. Infrastructure scales sub-linearly. The math works at every tier.

Starter
$29/mo
~93% gross margin
  • Email marketing (5 campaigns/mo)
  • Basic web presence management
  • Customer support widget (100 sessions)
  • Soul Engine — standard personalization
  • 1 knowledge document upload
Pro
$99/mo
~97% gross margin
  • Everything in Growth
  • Multi-location support
  • Advanced analytics dashboard
  • Priority inference (faster responses)
  • Unlimited knowledge documents
  • Custom Soul personality training
06 / UNIT ECONOMICS
The numbers

Cost per customer: $1.45.
Subscription: $49–$59.

ComponentPer Customer / Mo
LLM Inference (Kimi K2.5 via DeepInfra)$0.85
AWS Fargate (API + Workers)$0.31
MongoDB Atlas (M30)$0.21
Valkey Cache$0.03
S3 + CloudFront + SES$0.05
Total COGS (1K customers)$1.45
Gross Margin @ $49/mo97.0%
Why This Works
LLM costs are commodity. K2.5 via DeepInfra: $0.90/1M blended tokens. 400K tokens/customer/mo = $0.85.
MoE architecture = efficient. 1T params but only 32B active per token. Inference cost of a 32B model, quality of a frontier model.
Infra scales sub-linearly. MongoDB, Valkey, Fargate costs grow slower than customer count.
Model-agnostic. As inference costs drop 30–50% annually, our margins improve for free.
CustomersInfra / CustomerLLM / CustomerTotal COGS@ $49 RevenueGross Margin
100$2.75$0.85$3.60$4,90092.7%
500$0.90$0.85$1.75$24,50096.4%
1,000$0.60$0.85$1.45$49,00097.0%
2,500$0.40$0.85$1.25$122,50097.4%
5,000$0.30$0.85$1.15$245,00097.7%
10,000$0.25$0.85$1.10$490,00097.8%
Monthly BurnAmount
Engineering (2 devs)$16,000
Infrastructure + LLM$1,500
Marketing + Content$3,000
Tools + Misc$1,500
Total Monthly Burn$22,000
Break-Even Analysis
→ Break-even at $49/mo avg: ~450 customers
→ Break-even at $59/mo avg: ~375 customers
→ Timeline to break-even: 12–18 months
→ $500K seed gives 22 months runway at current burn
→ Revenue-positive before runway expires with ~20 customers/month acquisition
07 / INFRASTRUCTURE
Technical Strategy

API-first. Self-host never.
Until the math says otherwise.

We modeled self-hosting Kimi K2.5 on 8×H200 GPUs. The verdict: $375K CapEx with a 6-year payback horizon. API inference is 97% cheaper at startup scale. We stay asset-light and model-agnostic.

Phase 1: Launch → 2,500 customers
100% API via DeepInfra. Qwen3 8B on $50/mo VM for routing. Monthly infra: <$500
Phase 2: 2,500 → 10,000 customers
Hybrid: Self-host helper models (Qwen3 8B/14B on RTX 4090). Primary stays API. Monthly infra: $3K–$6K
Phase 3: 10,000+ customers
Evaluate GPU rental vs. purchase. Only buy hardware when API costs exceed $15K/mo for 6+ months. Monthly infra: $8K–$15K
Self-Host vs API: Break-Even
API @ 1K cust.
$850
API @ 5K
$4.3K
API @ 10K
$8.5K
API @ 18.6K
$15.8K
Self-Host TCO
$15.8K
API break-even: ~18,600 customers
OpEx-only break-even: ~6,350 customers
→ We won't self-host until Year 3+ at earliest
08 / LANDSCAPE
Competitive positioning

Nobody does all five.

Incumbents are bolting AI onto existing products. We're building AI-first with integrated capabilities no single competitor offers.

Email
Web/Marketing
AI Support
Web Design
Personality
Mailchimp
HubSpot
Tidio
ActiveCampaign
Vendasta
CraftedSoul AI
Full capability Partial / bolt-on Not offered
09 / ROADMAP
24-Month execution plan

Build. Ship. Compound.

Q1–Q2 2026 · Months 0–6

Foundation & MVP

Core platform build: API gateway, personality engine middleware, email marketing module, and customer support RAG agent. Closed beta with 20–50 SMBs for iteration.

Target: 50 beta users
Burn: $132K
Revenue: $0
Q3–Q4 2026 · Months 7–12

Launch & First Revenue

Public launch. Add web presence management and web design modules. First paid customers. Iterate on onboarding (value in first 15 minutes). Begin content marketing engine.

Target: 200 paying customers
Burn: $132K
Revenue: $60K cumulative
Q1–Q2 2027 · Months 13–18

Growth & Break-Even

Hit 400+ customers. Approach break-even. Introduce Pro tier. Deploy self-hosted helper models for routing. Begin exploring agency/white-label partnerships.

Target: 450 customers · Break-even
MRR: $22K+
Margin: 95%+ gross
Q3–Q4 2027 · Months 19–24

Scale & Series A Positioning

Target 1,000+ customers. Expand feature set based on usage data. Hire 2 additional engineers. Position for Series A with demonstrated PMF, retention metrics, and expansion revenue.

Target: 1,000+ customers
ARR: $600K+
Next: Series A readiness
10 / THE ASK
Investment

$500K Seed.
22 months runway.

We're raising $500K on a SAFE at a $5M cap to build the platform, acquire first customers, and reach profitability before running out of runway. No vanity metrics — revenue before Series A.

45%
Engineering
$225K · 2 full-time devs
20%
GTM
$100K · Marketing + sales
15%
Infra
$75K · Cloud + API costs
10%
Operations
$50K · Legal, tools, misc
10%
Reserve
$50K · Buffer
Why now

The window is open.

→ Open-source frontier models just reached API parity — K2.5 matches GPT-5.2 on agentic benchmarks at 76% lower cost
→ Inference costs dropping 30–50% annually — our margins improve for free
→ Incumbents are bolt-on AI. No one is building AI-first for SMB
→ Lead developer has deep AI humanization expertise — personality engine is a genuine technical moat
→ SMBs are actively looking for consolidated AI tools — 29% CAGR in SME AI segment
Revenue before runway runs out.
Break-even at 450 customers · 22 months of runway · No fairy-tale projections
CRAFTEDSOUL AI · CONFIDENTIAL · FEBRUARY 2026