Capturing What Your Enterprise Decided,
Why, and What Happened Next
Eliminating multi-million dollar organizational amnesia through high-throughput vector precedent search and 34B parameter graph neural reasoning on AWS.
The $3.8 Trillion Cost of Enterprise "Organizational Amnesia"
Every Fortune 500 company has CRM for customers, ERP for inventory, and HCM for employees. But there is NO system of record for Decisions.
When executives leave, the "why" behind architecture, pricing, and vendor choices vanishes, causing new teams to repeat expensive mistakes every 18 months.
Trade-offs are scattered across Slack threads, Google Docs, Jira tickets, and board minutes with zero searchable precedent retrieval.
Companies never measure whether past decisions met their ROI targets, preventing teams from learning from empirical outcomes.
DecisionVault: The System of Record for Enterprise Decisions
DecisionVault passively captures, indexes, and surfaces institutional memory using specialized 34B graph neural networks running on AWS GPU clusters.
Automatically extracts decision rationales, alternatives, and DACI/RAPID owners from communication streams without workflow friction.
Evaluates 85M decision coordinates per second to instantly retrieve analogous past scenarios, trade-offs, and empirical outcomes.
Every committed decision is sealed into an immutable zero-knowledge ledger for board compliance, audits, and governance verification.
$58 Billion Total Addressable Market
Replacing fragmented knowledge bases & wiki silos
Mandatory regulatory compliance (EU AI Act, SOC 2)
Supervising multi-agent enterprise workflows
Vault-34B: Graph Neural Reasoning on Distributed Tensor Clusters
Decision Graph Neural Networks
Connects decisions, stakeholders, counterfactual options, and empirical outcomes into a continuous topological graph, computing semantic precedent similarity with sub-4ms latency on AWS.
GPU-Accelerated Dense Index
Evaluates 85M dense vector lookups per second across distributed multi-node GPU clusters at native FP8 precision, eliminating memory transfer bottlenecks.
High-Performance GPU Cloud Architecture on AWS
Enterprise Tiered SaaS + Compute Consumption
Enterprise Vault Subscriptions
Annual contracts ranging from $150,000 to $850,000 ARR per enterprise customer for unlimited decision capture, precedent search, and board auditing.
High-Throughput Vector Compute
Usage-based billing for dedicated private GPU enclaves and high-volume real-time counterfactual decision simulation sweeps.
$2.4M ARR Qualified Enterprise Pipeline
Indexed 4,200 past infrastructure decisions, eliminating duplicate architectural debates and cutting project kickoff latency by 45%.
Surfaced past tariff mitigation playbooks to prevent $18M in inventory disruption costs during sudden maritime trade route shifts.
Cryptographically sealed 100% of allocation votes and audit rationales across a $3.5B private asset portfolio.
Executive Leadership & Founders
Michel Carom
Founder & CEO
Quantitative systems engineer; pioneer in enterprise decision memory and high-throughput vector indexing.
Dr. Elena Vance
CTO & AI Research
Ex-MIT CSAIL researcher in graph neural networks and structural causal precedent discovery.
Marcus Sterling
Chief Risk Architect
Former Quantitative Risk Director; specialist in outcome auditing and closed-loop decision tracking.
Dr. Aris Thorne
VP Infrastructure
HPC supercomputing architect; distributed GPU matrix pipelines and RDMA network fabrics.
Raising $4.5M Seed Financing
Scale distributed GPU cluster capacity to 128 nodes, accelerating vector precedent search to 250M lookups/sec on AWS.
Hire 6 senior graph neural network researchers, vector database compilers, and enterprise security engineers.
Convert active Fortune 500 pilots into recurring multi-year institutional contracts; target $4M ARR by Q4 2027.