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Exogram

AI InfrastructureVerified95% conf

Runtime governance layer for AI systems to enforce operational boundaries and deterministic execution

exogram.ai

📍 Maple Valley, Washington, USA

Verified Data

💰
Est. Revenue<$50K ARR

Based on early-stage/pre-revenue status with Jan 2026 launch, bootstrapped funding, and 1-5 employee team size. Typical pre-revenue B2B SaaS startups generate minimal revenue in first year.

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FundingBootstrapped

Pre-seed / Bootstrapped (No public VC round announced as of May 2026)

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Monthly Traffic4,000 monthly visits

~4,000 monthly visits (Proxy from 'There's An AI For That' platform metrics)

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Users4,000+ users

4,000+ (based on 'There's An AI For That' platform metrics)

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Team Size1-5 employees

1-5 employees (Early-stage startup)

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GrowthLaunching phase

Launching Phase (Jan 2026); growing presence in AI governance sector

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StageBootstrapped
📅
Founded2026

Company Profile

ModelB2B SaaS
VerticalEnterprise AI systems, B2B SaaS, Autonomous AI agents
ClientsEnterprise AI pilot customers in Financial services, Healthcare, and SaaS segments
BuyersCTOs, Engineering Leaders, and AI Product Managers at B2B/Enterprise firms
PricingFree tier (500 evaluations/month), Pro $99/month (50K evaluations/month), Developer $2.50/1K API calls, Enterprise custom

Contact

Strategic Analysis

Strategy

Building governance infrastructure for enterprise AI systems to ensure deterministic execution and control. Targeting the gap between AI models and enterprise infrastructure with a focus on autonomous AI agents and B2B SaaS companies. Positioning as essential infrastructure for AI reliability and compliance.

Tactics

Freemium model with API-based consumption pricing to drive adoption. Direct outreach to CTOs and engineering leaders at enterprise companies. Building presence in AI governance sector through thought leadership and technical content.

Competitive Positioning

Differentiates by providing deterministic control plane for AI agents versus probabilistic approaches. Focuses on runtime governance rather than just monitoring or observability. Positions as infrastructure layer between AI models and enterprise systems.

Marketing Approach

Content-led growth through founder's thought leadership on AI governance. LinkedIn presence targeting enterprise decision makers. Technical blog content explaining the need for deterministic AI governance infrastructure.

Notable

Founded in 2026 with focus on AI agent governance infrastructure

Tech Stack

PythonPythonFastAPIFastAPIReactReactNext.jsNext.jsREST APISHA-256 LedgeringEAAP

Recent News

Related AI Infrastructure Companies

Discovery Sources

Exogram
May 15, 2026

Signals

web traffic4,000 monthly visits

~4,000 monthly visits (Proxy from 'There's An AI For That' platform metrics)

growth rateLaunching phase

Launching Phase (Jan 2026); growing presence in AI governance sector

team size1-5 employees

1-5 employees (Early-stage startup)

user count4,000+ users

4,000+ (based on 'There's An AI For That' platform metrics)

funding raisedBootstrapped

Pre-seed / Bootstrapped (No public VC round announced as of May 2026)

trend indicatorAutonomous Systems🔗 source ↗
trend indicatorEnterprise🔗 source ↗
trend indicatorAI🔗 source ↗
trend indicatorGovernance🔗 source ↗
pricing presentPricing🔗 source ↗

Evidence

futuretools.link

Enforce operational boundaries and deterministic execution for autonomous systems.