Design, build, and deployment of AI systems for critical business workflows
We do not build demos. We build systems that work inside the organization: intelligent, measurable, scalable systems that turn manual and repetitive processes into real business impact.
Production-grade AI systems connected to your organization
We design and implement AI systems that connect to CRM, data, existing tools, and people, and operate as part of the real workflow.
Complex business logic
We embed the rules, exceptions, and decisions that are specific to your organization.
Data integration across sources
We connect CRM, databases, APIs, and existing systems so AI works on real operational data.
AI decision layers
We build layers that analyze, rank, route, and act with context instead of only executing prompts.
Personalization and automation at scale
We personalize every customer, candidate, or process at a scale manual work cannot reach.
Human-in-the-loop workflows
Human checkpoints keep the system controlled while allowing the agents to move independently.
✦ An AI system that does not only write, but thinks, acts, and creates a business result.
A different approach to building AI
Most AI projects fail because of weak foundations, not because of the model.
Foundation first
We start with data, workflow, and architecture before building agents.
Controlled logic
No black box. Critical decisions use clear, auditable, manageable logic.
System thinking
We build complete systems with multi-agent orchestration, not isolated tools.
Production mindset
Built to run inside the organization, not to impress in a demo.
AI systems for high-value business processes
Packaged agent systems and custom builds for complex operational problems.
AI BDR Multi-Agent System
Identifies opportunities, enriches data, creates personalized outreach, and generates qualified pipeline.
AI SDR System
Analyzes inbound leads, scores and routes them by business logic, and accelerates engagement.
Leader-Led Content Factory
Learns the leadership voice and produces strategic content for approval and distribution.
AI Sourcing Agent
Reviews CV, LinkedIn, and GitHub data and creates scored candidate reports.
AI Digital Workers
Runs back-office and ERP workflows with controlled rules, approvals, and data entry.
AI Intelligence Platform
Processes, enriches, and analyzes complex documents and information at enterprise scale.
Custom AI Agent Systems
Connects data, CRM, and existing systems into intelligent automation with full control.
Strategic partners, not vendors
Discovery, MVP, and optimization, with working components going live in phases.
Discovery
We map the process end to end, identify the highest-value MVP, and define the success metrics.
MVP
We build scalable architecture and deploy the first working agent system inside the workflow.
Optimization
We continue tuning the system with live data, measurement, and operational feedback.
AI strategy and engineering
Senior AI strategy, product thinking, data engineering, and multi-agent architecture.
Ronen Horen
Chief AI Officer
AI architect connecting strategy to measurable outcomes. A member of the founding team of Google Israel, with 25 years building data-driven growth engines and more than 700 successful collaborations with leading companies.
Ron Fox
Chief AI Engineer
Applied Mathematics and AI specialist with an MSc from Tel Aviv University. Ron translates complex model theory and business logic into production-grade multi-agent systems that teams can actually run.
Engineering team
Data Engineer + AI Engineers
Responsible for data pipelines, integrations, system reliability, and production operations.
We start with the business process
Not AI first
✦Business process first
Not another tool
✦A working system
Not output metrics
✦Pipeline, efficiency, and revenue impact
Have a manual or non-scalable process?
It is probably a candidate for an AI agent system.
Book a free consultationBook a free AI consultation and we will map the first opportunity.