FORGEPOINT
Clone the Brains.
Chain the Context.
Ship the Software.
The enterprise AI Software Factory that turns your team's collective intelligence into production applications.
forgepoint.build
Seed Round
Sid Dixit
Sid Dixit
Founder & CEO
01 / 16
THE PROBLEM
Software Is Built by a Chain of Specialists
◆ PM
△ Solution Architect
○ UX Designer
▮ Software Architect
☐ Project Manager
⌨ Developer
☑ QA
▸ Security
⚙ DevOps
↗ Growth
⚠ The Break
Context degrades at every handoff. By the time code ships, the original intent is unrecognizable. Each specialist re-interprets what came before.
☢ The Loss
Your legendary developer left. Now AI coding agents step on every landmine they knew to avoid. Institutional knowledge walks out the door.
02 / 16
THE NUMBERS
What Broken Context Costs
2 yrs
Average IT backlog
$200K
Cost per internal tool
65%
Requests never fulfilled
73%
AI code needing rework
"Coding agents made each person 30% faster at their individual step. Nobody made the pipeline faster."
03 / 16
THE TRANSFORMATION
From Months of Pain to Hours of Flow
Before
18-month backlog for every new tool
$200K per internal application
Context lost at every handoff
73% of AI code needs rework
Compliance blocks AI adoption
→
After
48-hour delivery, idea to production
$50–200 in compute per application
Zero context loss across all phases
Validated at every phase automatically
Compliance artifacts built-in
04 / 16
WHO NEEDS THIS
Not Developers. Everyone Waiting for Developers.
◆
VP Operations
Needs a system built yesterday. IT says 18 months. Business stalls while the backlog grows.
◉
Customer Support
Can describe exactly what they need in 30 minutes. IT delivers it in 18 months — if ever.
△
Revenue Team
Needs dashboards, integrations, and automations. Can not get them built without an engineer.
▦
Engineering Team
Drowning in maintenance. No time for new features. AI tools help individuals, not the pipeline.
◇
PE Portfolio Company
25-year-old ColdFusion system. Can not hire developers who know it. Modernization quotes: $5M+.
☍
Regulated Enterprise
Needs compliance artifacts with every deploy. Current AI tools produce code with zero audit trail.
05 / 16
THE SOLUTION
Three Steps to a Software Factory
01
Clone the Brains
AI agents for each specialist role — PM, Architect, Designer, Developer, QA, Security, DevOps — trained on YOUR company's standards and patterns.
02
Clone the Context
Proprietary Context Engine ingests enterprise knowledge: KB articles, PRDs, Jira, Salesforce, GitHub, design systems, security policies.
03
Chain into a Factory
Orchestrate cloned brains with zero handoff loss. Full context flows through every phase. Minutes, not months.
Input: business idea. Output: production software with compliance artifacts.
06 / 16
HOW IT WORKS
12 Phases. 15 Agents.
DEFINE PHASE
Idea
Capture business intent
Spec
PRD generation
Validate
Spec review gate
Design
UX + architecture
BUILD PHASE
Plan
Sprint breakdown
Validate
Plan review gate
Build
Code generation
Review
Automated CR
SHIP PHASE
Test
QA + regression
Guard
Security scan
Ship
CI/CD deploy
Sell
GTM artifacts
● Supervised
◑ Semi-Auto
★ Autonomous
07 / 16
CONTEXT ENGINE
Your Company's Knowledge Becomes the Factory's Intelligence
  • Knowledge base articles & wikis
  • Product requirement documents
  • Jira tickets & project history
  • Design systems & component libraries
  • Security policies & compliance rules
  • CI/CD pipelines & infrastructure configs
  • Testing frameworks & QA standards
YOUR PM AGENT LEARNS...
How your company writes requirements. What stakeholders care about. Past feature decisions and their outcomes.
YOUR ARCHITECT AGENT LEARNS...
Your stack preferences. Database patterns. API conventions. Scaling decisions that worked and ones that failed.
YOUR SECURITY AGENT LEARNS...
Your compliance requirements. Pen test findings. Vulnerability patterns. Regulatory frameworks that apply.
YOUR DEVOPS AGENT LEARNS...
Your deployment pipelines. Infrastructure topology. Monitoring thresholds. Incident playbooks.
08 / 16
MASSIVE OPPORTUNITY
Legacy Modernization: $29B → $66B by 2031
250B
Lines of COBOL still running
58.3
Average COBOL developer age
70%
Fortune 500 run 20yr+ software
80%
US gov IT = maintaining legacy
RPG / AS400
$3–5B market
ZERO COMPETITORS
VB6 / ASP
$2–4B market
Oracle Forms
$2–4B market
ColdFusion
Supply chain critical
US SUPPLY CHAIN
COBOL
Crowded but massive
09 / 16
PRODUCT
Two Surfaces. One Engine.
▦
VS Code Extension
Engineers stay in their workflow. Full pipeline access from the editor.
Forgepoint — VS Code
Chat
Pipeline
SpecBuildShip
Editor
☯
Web Portal — forgepoint.build
No setup. A PM opens a browser and builds production software.
forgepoint.build/workspace
Chat
Files
Code
STREAMING
Real-time agent output
BYOK
Bring your own keys
COMPLIANCE
Artifacts at every phase
DEPLOY
Ship to your infrastructure
10 / 16
COMPETITION
Nobody Else Delivers Production Software
Competitors optimize a single step. Forgepoint owns the entire pipeline — from idea to deployed, tested, compliant production software.
"8090 writes the blueprint. Forgepoint builds the building."
↑ END-TO-END COVERAGE
8090.ai
Blueprint only
FORGEPOINT
★ Full Production
Replit / Bolt / Lovable
Prototypes
Copilot / Cursor
Code assist
SINGLE PHASE → PRODUCTION DEPLOY
11 / 16
MARKET
Every Company That Builds Software Is a Customer
$640B
Total Addressable Market
$66B
Serviceable Addressable Market
$50M
Year 3 ARR Target
When AI can build software, the market is not developer tools. It is every dollar spent on building software.
12 / 16
BUSINESS MODEL
Priced Like an Engineer. Works Like a Team.
A mid-level engineer costs $8–15K/month. Forgepoint replaces an entire team.
FREE
$0
1 project. Explore the factory.
PRO
$499/mo
Individual builders. Full pipeline.
TEAM
$2K/seat/mo
Shared context. Team collaboration.
ENTERPRISE
$5–15K/seat/mo
Custom context engine. SSO. SLA.
REVENUE PER CUSTOMER
$120K – $1.8M ACV
CUSTOMER SAVINGS
84%
MIGRATION ROI
10x faster
13 / 16
TRACTION
Built in 72 Hours. Shipping Now.
Day 1
Pipeline + 15 agents
Day 2
VS Code + Web Portal
Day 3
Cloud deploy + Auth + IP
★
Live Product
Full pipeline running. VS Code extension and web portal both functional. Real-time streaming.
☑
Compliance Artifacts
Every phase generates audit-ready documentation. PRDs, arch decisions, test reports, security scans.
∞
The Meta-Proof
The factory built itself. Forgepoint was built using the Forgepoint pipeline. That is the demo.
14 / 16
TEAM
The Enterprise Operator Who Knows What's Missing.
Sid Dixit
Sid Dixit
Founder & CEO
◆
CTO/CIO — iTradeNetwork
$62B Nasdaq (Roper/ROP). $200B+ in transactions processed.
△
CTO — Maxar
$6.4B acquisition. Led 1,000+ people. Satellite imagery for Google Maps.
◉
Head of AI/ML — Amazon
Alexa, Amazon Astro, Ring. $500M+ revenue impact. 150M+ deployments.
◆
$10B+ Exits
Maxar, Planet, Microsoft, Motorola
△
Enterprise Operator
CTO of $62B public company
◉
AI Platform Builder
Amazon AI/ML, 150M deployments
★
Knows the Buyer
Board member. Sold to the enterprise.
KEY HIRES
VP Enterprise Sales
Head of DevRel
Principal Engineer
15 / 16
THE ASK
Seed Round. 18 Months to Own the Category.
FUND ALLOCATION
35% — Go-to-Market & Enterprise Sales
30% — Engineering & Infrastructure
20% — Product & Context Engine
15% — Operations & Compliance
→
18-MONTH MILESTONES
$2M ARR
50 Enterprise customers
3 Legacy migration wins
SOC 2 + HIPAA certified
AI-native companies will own the next decade. Forgepoint is building the factory that builds the factories.
16 / 16

Speaker Notes

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