About ProductiveHub
A small engineering practice that builds AI agents and production platforms, and takes the CTO seat when a company needs one.
Our Story
ProductiveHub started in 2019 as a one-person fractional CTO practice. The pattern in the first engagements was always the same: the advice was only worth something if someone also opened the repo and did the work. So we kept doing both, and that is still the shape of the company. We write the code, and we own the technology decisions around it.
Most of our work today is AI systems in production: multi-agent pipelines, conversational agents over real business data, and the platforms they run on. The leadership side is the same people, not a separate practice. Roadmaps, hiring plans, and board reporting come from whoever is also in the codebase that week.
In practice that has meant building a conversational agent that answers event organisers' questions across forty-odd connected platforms, with personal data tokenised before any of it reaches a model. It has meant taking a call from a startup whose cloud bill had climbed 800% a month after a vendor shipped their multi-agent pipeline, and tracing it, without source access, to agents triggering each other in loops. It has meant turning a single overloaded cloud function into a sandboxed runtime on Kubernetes that now holds steady at ten thousand concurrent workflows during ticket drops. Different problems, same job: make it work in production, and stay accountable for it afterwards.
Select Clients
We have worked with large enterprises and early-stage startups, and the engagements look different at each end. A few of the companies we have built for:
Meta, BCG, EY, OnsiteDental, Cohost, W6W, Joonbug, Nooli, Popshap, Camvue, Popped, Zazzy's, and more.
Leadership
Segev Shmueli
Founder & Principal CTO
Segev has been building software for over twenty years, first as an engineer and then running engineering organisations in healthcare, fintech, and crypto. Along the way he grew one team from five to more than a hundred engineers and led the engineering behind products doing over $150M in annual revenue.
He holds an MSc in Computer Science and is a graduate of the Wharton CTO Program. Outside client work he leads think groups on responsible applied AI. He still writes most of ProductiveHub's agent and platform code himself, which is how he prefers it.
Certifications
Current certifications held by the team.
TOGAF® 10
Enterprise Architecture Practitioner
Lean Six Sigma
Black Belt
AWS Solutions Architect
Professional
GCP Solutions Architect
Professional
Google Gen AI Leadership
Google Cloud
Google Advanced Data Analytics
What We Build
The four areas below cover nearly everything we have shipped for clients. Each item is something currently running in production, not a technology we have read about.
AI Agents & Multi-Agent Systems
- Multi-model architectures with intent routing
- Workflow orchestration with LangGraph
- LLM integration (Claude, OpenAI, embeddings)
- Safety patterns: circuit breakers, loop detection, PII tokenization
Platforms & Infrastructure
- Kubernetes, Terraform, CI/CD pipelines
- Containerized runtime servers with hot deployment
- Cloud-native on GCP, AWS, Azure
- Microservices & distributed systems
Production Software
- TypeScript / Node.js, React, Next.js, Astro
- Python, Go, Java, C++
- API design & third-party integrations
- Developer ecosystems & SDK design
Security & Compliance
- HIPAA, GDPR, PCI-DSS architectures
- PII abstraction & format-preserving tokenization
- Sandboxing (seccomp-bpf, KMS secrets)
- Immutable audit trails & differential privacy
How We Work
We Build It
The person who sets the architecture is the person who implements it. Recommendations come with a pull request, not a deck.
We Embed
We work inside your team: your Slack, your standups, your repo, your incident channel.
We Stay
Most of the case studies on this site come from clients who came back for a second or third engagement.
Talk to Us
If you have a system that needs building, or one that needs rescuing, tell us about it. The first conversation is with Segev, and it is free.
Schedule a Strategy Session