Identity Reinvented
The world's first self-adapting identity system for enterprise access.
The Problem:
Current IAM Systems
Rigid and Manual
Identity management tools today are rigid, rule-based, and reactive.
Missing Human Element
They manage policies, but fail to understand people.
Fragmented Data
Disparate and missing data leads to fragmented identity, compliance risk, and slow operations.
Not Built for AI
Lack of foundational structures to enable AI capabilities
The Shift:
Treat Identity as a Data Product
New Paradigm
Instead of building a superset of current tools, we're building a new paradigm.
Data-Centric
Everything we touch is data.
Semantic Graph
Identity data, app metadata, access logs, user events — all of it forms a semantic graph - AI agent ready, LLM ready.
Intelligent Systems
IAM systems should learn, adapt, and guide decisions, not just enforce policy.
Our Solution:
Link fragmented identity data
Create a single canonical source of identity truth
Build a relationship graph
Connect people, apps, access, and events
Vectorize everything
Turn similarity and meaning into machine-learned models
Continuously learn
Adapt from new inputs, admin decisions, and system behavior
Act on what is learned
Intelligently drive core IAM capabilities
Architecture: A Living Identity Graph
Step 1: Ingest & link
Gather and connect identity, directory, and application data from disparate sources
Step 2: Normalize & structure
Build the graph with weighted edges between entities
Step 3: Vectorize entities
Apply autoencoders/transformers to create meaningful representations
Step 4: Learn & adapt
Implement feedback loops and retraining mechanisms
Step 5: Generate actionable IAM signals
Produce insights that drive better, and more automated access decisions
Step 6: Intelligent IAM Features
Interact with Identity through LLM prompts and AI Agents
🧠 Think: A living brain for IAM.
Core Use Cases
From raw data to intelligent outcomes
Joiner-Mover-Leaver Automation
Context-aware access decisions and automations
Access Reviews
Peer group insights, anomaly detection
SoD Enforcement
Path-based graph logic
Role Mining & Modeling
Semantic grouping & vector similarity
Risk-Based Approval
Fraud scoring, anomaly surfacing
Natural Language LLM Interface
Query for data and changes, or initiate processes through natural language prompts
AI Agents
Teams can focus on strategy and outliers while AI Agents take care of task work
Core Capabilities
IDM - Identity Data Mastering
Merge people data from HR/CRM/IT
ADM - Application Data Mastering
Build app records, infer access relationships
ELM - Entitlement Lifecycle Mgmt
Manage groups/roles holistically
IAM - Identity & Access Management
Auto-grant access for joiners/movers/leavers
AGR - Access Governance Reviews
Review only risky outliers
LLM/Insights
Natural language IAM queries
AI Agents
Automate IAM tasks
Why We're Different
Graph-native, vector-first
Not a rules engine, but a learning system
Designed for adaptability
New signals, new sources, and human feedback
LLM and Agent Ready
Core architecture built from the ground up with AI as the focus
Frictionless experience
Admin and user experience designed to be simple, not complex
Why Now?
AI Advancements
Embeddings and graph data technologies have matured, enabling more sophisticated identity solutions.
Increasing Pressure
Organizations face mounting compliance requirements in an increasingly regulated landscape.
Increasing Complexity
The rapid expansion of cloud services and distributed workforce environments demands smarter identity solutions.
Market Opportunity
$20B+
IAM Market Size
Growing industry with aging platforms
Trending
Increasing Demand
For intelligence and automation in access governance
3X
Complexity Growth
Rapid cloud and business application adoption exponentially increasing volume and complexity
Evolution from Policy to Intelligence
Legacy IAM
Static policies, manual reviews
Smart IAM
Data-driven insights, automation
Intelligent IAM
Learns, adapts, governs in real-time
The Next Generation of Identity
Today
Static roles, manual reviews
12 Months
Identity intelligence integration
24 Months
Autonomous access governance
Future
Neural identity ecosystem
Team - 50 Years of Industry Experience
Ryan Heckman
Founder
20+ years of hands-on leadership scaling identity and cybersecurity functions across diverse, high-stakes industries like telecom, finance, and retail.
Gary Hagler
Co-Founder
A decade of IAM architecture leadership for Fortune 500 companies, with deep expertise in top IGA and IAM platforms, user lifecycle management, privileged access, and compliance.
Business Model
Feature Add-ons
Advanced graph analytics, custom enterprise integrations
SaaS Subscription
Useage Based on # of identities, objects -and- Feature Licenses
Target Market
Enterprise IAM, MSPs, and Compliance teams
Traction
MVP underway
IDM module coded and tested for viability, Graph network architected, development underway
Early design partners identified
Building collaborative relationships
Letters of interest in progress
Demonstrating market validation
Strong alignment
With IAM modernization efforts in mid-size to large enterprises
$750K Pre-Seed Round
Raising $750,000 on a SAFE to build next-gen IAM intelligence with 18-month runway to validate product-market fit and position for Seed round.
Use of Funds
Key Milestones:
Next 6–9 Months:
  • Finalize IDM + graph foundation with customer data
  • Build vector embeddings across identity, apps, and roles
  • Deploy IDM and ADM to 2–3 pilot customers
  • Produce dashboard MVP
Beyond Month 18:
  • Secure paid pilot conversions
  • Validate use cases: ELM, IAM, AGR, AI Agents, LLM prompts
  • Demonstrate "learning loop" improvements
  • Prepare GTM pipeline
Capital Strategy
  • $750K SAFE (Y Combinator post-money template or convertible note)
  • 18-month runway
  • Target Seed: ~$2.5M (late 2026) based on traction
Vision
IAM isn't just access. It's understanding.
  • IDCore becomes the semantic foundation for all access decisions
  • Our vectorized identity layer integrates into IGA, PAM, ITSM, and beyond
  • The more signals we touch, the smarter the system gets