AI & Automation | Web application

AI B2B Orchestrator

AI B2B Orchestrator

Illustrative only — actual UI under NDA

Client Israel-based analytic and development company
Industry AI & ML, B2B Marketing
Service AI & ML Development, AI Orchestration, Web Development, Backend Development, DevOps
Technologies FastAPI, React + TypeScript, WebSockets, PostgreSQL, Celery, Temporal, Docker, AWS, Jenkins, Microservices, Orchestration
About A large-scale orchestration system responsible for running and coordinating a wide range of services in a strictly defined sequence. The core workflow included AI-based parsing of incoming data, large-scale data collection, verification, and further processing for lead generation and automated outreach campaigns in the B2B marketing domain. The system was designed to handle high data volumes and complex asynchronous workflows while ensuring reliability and scalability.

OUR PROCESS

Discovery & Research
Development
Testing & QA
Deployment & Launch
Optimization & Support

CHALLENGE

Modern B2B lead generation relies on many disconnected AI tools — separate solutions for company discovery, LinkedIn validation, contact enrichment, email outreach, and lead qualification. Coordinating them manually is slow and doesn't scale. The challenge: how do you get multiple AI-powered tools to work together as a single, automated lead generation system?

AI-Powered Lead Discovery | Illustrative only — actual UI under NDA

AI-Powered Lead Discovery | Illustrative only — actual UI under NDA

Automated Lead Qualification | Illustrative only — actual UI under NDA

Automated Lead Qualification | Illustrative only — actual UI under NDA

Project goals

Build a central orchestrator that connects existing AI tools into one end-to-end workflow — triggering the right agents in sequence, passing data between them, and delivering qualified leads as a single output, starting from nothing more than an Ideal Customer Profile.

Problem

Each stage of B2B lead generation — discovery, validation, enrichment, outreach, qualification — typically runs on a separate tool with no shared coordination. Someone has to manually move data between them, track progress, and keep the sequence consistent, which slows the process down and makes it hard to scale beyond a handful of campaigns at a time.

Solution

Instead of replacing the existing AI tools, the orchestrator sits above them as a central coordinator. It receives the business objective, triggers the appropriate agents, manages the execution sequence, passes data between them, and delivers qualified leads as the final output — turning a set of independent tools into one continuous business workflow.

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KEY FEATURES

End-to-end automation that turns one ICP input into fully qualified leads

Seamless coordination across roughly ten specialized agents working in sequence

Built to handle high-volume, asynchronous workflows without breaking down at scale

Consistent, repeatable execution that removes manual variability between campaigns

RESULTS

The orchestrator replaces a set of disconnected AI tools with one continuous, automated pipeline — turning an Ideal Customer Profile directly into qualified leads without manual coordination between stages. Specialized agents handle discovery, validation, enrichment, outreach, and qualification independently, which makes the whole process faster to run, easier to scale across campaigns, and consistent every time it executes.

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