AI automation company delivering measurable ROI without enterprise prices
Neuro-symbolic AI for enterprise agents that combine language understanding with symbolic logic in one integrated runtime
Stage
Startup
Established
Founded
2025
2017
Based in
US
US
Pricing model
Paid
Contact for pricing
Pricing
Pilots: $5,000–$15,000 fixed-price per workflow. Retainers: from $1,500/month for up to 15 people, $2,500–$3,000/month for 15–50 people, from $7,000/month for 50–100 people, custom pricing for 100+ people. All retainers include maintenance, model upgrades, new automations each sprint, and support at
Not given
Key features
AI Agent Development with OpenAI, Anthropic, and LangGraph
Workflow Automation connecting CRM, billing, reporting and ops stack
Fixed-price pilots with ROI verification and documentation
Voice AI Development for automated phone agents
Healthcare AI with HIPAA compliance and self-hosted deployment
AI App Development with RAG and multi-model routing
On-premises and air-gap deployment options
Direct access to founder and engineering team with priority response under 4 hours
Free 30-minute consultation with no obligation or sales pitch
One integrated runtime combining neural and symbolic systems
Deterministic policy enforcement before action
Complete execution trace for every turn
Natural language program authoring with code generation
Consistent decisions from identical inputs
CPU-based logic execution with lightweight language models
Managed service and custom enterprise deployment options
What makes it different
Measurable ROI-first approach: every engagement defined by business outcomes, not hours delivered
No lock-in with month-to-month retainers and IP that transfers on day one
Founder-led technical scoping ensures the quoted architecture is the architecture delivered
All maintenance, model upgrades, and fixes included in one flat monthly retainer
Fraction of the cost of hiring an in-house AI team while delivering results from week one
Symbolic logic governs decisions instead of neural weights
Lower operational costs through CPU-based logic and lightweight models
ValueStreamAI
Apollo-1