Meet JJ Ben‑Joseph
JJ Ben‑Joseph blends deep technical leadership with a venture investor’s eye for value. Formerly with In‑Q‑Tel (the U.S. intelligence community’s strategic investor), he has evaluated and shipped AI, cybersecurity, and bioinformatics systems that must work the first time—even under pressure.
JJ founded and led multiple software companies, including AgentCures (AI for drug discovery) and TensorSpace (AI engineering studio). He builds deterministic, test‑covered systems on AWS that set themselves up and tear themselves down, with fully reproducible builds and automated defect detection.
- Production ML: feature stores, data versioning, evaluation pipelines, and model governance
- Security & Compliance: privacy‑first design, SOC2/ISO readiness, least‑privilege cloud
- Fast Iteration: weekly demos, measurable milestones, zero‑drama launches
As an oleh chadash building in Israel, JJ’s mission is simple: help founders turn ambitious ideas into reliable AI products—and make Israel a global AI power.
What We Deliver
- End‑to‑End AI Product Engineering: from concept to launch—APIs, front‑end, back‑end, and MLOps that work together.
- LLM & Agent Systems: retrieval (RAG), tools, function calling, evaluation harnesses, and safety guardrails.
- Production‑Ready Machine Learning: data pipelines, feature stores, model training/serving, A/B tests, and monitoring.
- Cloud Architecture Optimization: resilient, secure, and cost‑efficient deployments on AWS with IaC and autoscaling.
- Rapid Prototyping: investor‑ready demos in days with clear success metrics and iteration plans.
- Compliance by Design: privacy, security, and auditability baked into the product lifecycle.
- Performance & Cost Tuning: profiling models/services, right‑sizing instances, and aggressive cache strategies.
- Embedded Leadership: fractional Head of AI/CTO support; hiring rubrics and interview loops.
Why TensorSpace
- Production or it didn’t happen: we optimize for real users, real traffic, and real reliability.
- Developer‑grade quality: reproducible builds, automated testing, and observable systems.
- Clear economics: we design for unit economics, not just model accuracy.
- Founder empathy: we’ve been on the hook for launches and revenue—we act like owners.
Flexible Engagement
no minimum • billed by the minute • simple contract
Other Engagement Options
- Hourly: perfect for targeted help, design reviews, or unblockers.
- Project‑Based: fixed‑scope build with milestones and a delivery plan.
- Retainer: fractional leadership and ongoing roadmap execution.
We tailor scope and terms to your roadmap and budget. You’ll always know what we’re building next and why.
How We Work
- Discovery Call: align on goals, users, constraints, and success metrics. Define a razor‑sharp problem statement.
- Roadmap Sprint: architecture diagram, data flow, model/LLM choice, and an execution plan with week‑by‑week milestones.
- Build & Iterate: weekly demos; CI/CD, tests, and telemetry land first so every change is safe and observable.
- Launch Readiness: red/yellow/green checklist for reliability, security, latency, and cost. Dry‑run and rollback rehearsals.
- Continuous Optimization: track product KPIs and unit economics; ship quick wins and plan the next experiment.
FAQs
Can you work with our stack? Yes. We’re comfortable across modern Python/TypeScript stacks, Postgres, Redis, and AWS services (ECS/EKS/Lambda, S3, DynamoDB, CloudWatch), as well as popular LLM providers and open‑source models.
How do you handle IP? You own everything we build under a straightforward work‑for‑hire agreement.
What about security and compliance? We follow least privilege, secrets hygiene, logging, and audit trails from day one; we’ll align to your SOC2/ISO plan.
Let’s Talk
Need a demo‑ready build this month? Let’s align on scope and have your first milestone shipping in days.
Book 15‑min CallPrefer a written brief first? See how we work or click “Show Email” to send details.
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Find me on LinkedIn