We Build AI Agents That Actually Do the Work.

Not just Q&A chatbots. We design and ship production-grade AI agents that connect to your stack, make decisions, and automate real workflows.

25+ years in engineering leadership CTO / VP R&D experience Advanced LLM & ML systems
Schedule a 30-min discovery call See what we can build

Ideal for product, ops, data and innovation teams in startups, scale-ups and enterprises.

What if your agents could…

  • Handle multi-step customer workflows end-to-end
  • Call your internal APIs, CRMs and billing systems
  • Trigger real actions, not just text answers
  • Use your data safely, with guardrails

That’s what we build. From design to production.

Who We Work With

We build agents for teams that need more than a demo.

Startups

Turn your AI idea into a working MVP fast. We help you design the agent, architecture, and integrations – ready to show investors and early customers.

  • Founding-stage tech partners
  • From zero to shipped in weeks
  • Prioritising impact over buzzwords

Scale-ups

Layer agents on top of an existing product or operations. Reduce manual work, shorten response times and open new features for your customers.

  • Deep system integration
  • Custom workflows per team
  • Measurable operational ROI

Enterprises

Safely introduce AI into complex environments. We work with your security, architecture and data teams to build compliant, traceable agents at scale.

  • Architecture & governance first
  • On-prem / VPC-friendly patterns
  • Clear boundaries and guardrails

What We Build

End-to-end AI agent systems – from idea to running in production.

Operational AI Agents

Agents that don’t just answer questions – they execute workflows.

  • Multi-step decision flows
  • Tool-using agents (APIs, DB, internal services)
  • FinOps, collections, support and ops flows
  • Routing, enrichment and next-best-action logic

Product-Integrated Agents

Agents that live inside your product and enhance your core value.

  • In-app copilots and assistants
  • Embedded agents in SaaS dashboards
  • Personalised user journeys and automation
  • White-label agents for your own customers

Data-Aware & RAG Systems

Agents that can reliably use your internal knowledge and data.

  • RAG and GraphRAG architectures
  • Vector stores & document pipelines
  • Fine-grained retrieval & access control
  • Evaluation and monitoring for hallucinations

Architecture & Strategy

Design the AI layer for your organisation or product.

  • AI/agent architecture design
  • System diagrams & integration plans
  • Vendor selection & cost modelling
  • Security & compliance alignment

Custom Tooling & SDKs

Everything around the agent to make it manageable at scale.

  • Internal tools for ops & support teams
  • Playground / control interfaces
  • Logging, metrics, tracing & evaluation
  • CI/CD integration for agent updates

Advisory & Reviews

Already started with AI? We review, fix and harden what you have.

  • Architecture & code reviews
  • Failure-mode & risk analysis
  • Performance & cost optimisations
  • Roadmap for next iterations

Example Solutions

Typical agents we design and ship for different teams.

Collections & Finance Agents

Automate debt negotiations, payment plans and follow-ups while staying within your business rules.

  • Negotiation flows with clear guardrails
  • Real-time connection to ledgers and balances
  • Payment plan creation via external APIs
  • Compliance-friendly conversations & logs

Customer Ops Copilots

Assist your customer support or ops teams in resolving tickets faster and with fewer escalations.

  • Summarise cases and history
  • Suggest next actions with justification
  • Trigger internal workflows and automations
  • Integrated into CRM / helpdesk tools

Internal Knowledge Agents

Make internal documentation and data actually usable.

  • Search across docs, specs, runbooks and tickets
  • Context-aware answers, with sources
  • Role-aware access to data
  • Usage analytics and feedback loops

Product Intelligence Agents

Let teams ask questions about users, events and revenue without writing SQL.

  • Translate natural language to queries
  • Guardrails on allowed metrics and joins
  • Visual explanations & narrative insights
  • Export to decks, docs or Slack

How We Work

A clear, low-friction process from idea to production.

01

Discovery & Fit (30–60 min)

We understand your goals, constraints, systems and stakeholders. We’ll be honest if an agent is not the right tool.

  • Clarify problem, users and success metrics
  • Map systems we need to integrate with
  • Decide if we start with MVP or deeper design
02

Design & Architecture

We design the agent’s responsibilities, tools, guardrails and data flows.

  • Agent capabilities and non-goals
  • Prompts, tools, APIs, data sources
  • Security and governance boundaries
  • Implementation plan with milestones
03

Build & Integrate

We implement the full stack: agent logic, backend services, integrations and infrastructure.

  • LLM flows and tool-calling logic
  • Backend services (Node.js, Python, etc.)
  • Integration with your CRMs, DBs, billing, etc.
  • CI/CD, logging and monitoring in place
04

Pilot & Iterate

We roll out to a limited group, measure impact and refine behaviour.

  • Guardrail and failure-mode testing
  • Feedback collection from users and teams
  • Fine-tuning prompts & flows based on real usage
05

Scale & Handover

We document, train your team and can stay involved as advisors.

  • Documentation & runbooks
  • Knowledge transfer to your engineers
  • Option for ongoing support and evolution

Engagement Models

Fixed-scope projects

Clear deliverables and timeline for well-defined agent projects.

Fractional AI / Agent CTO

We work alongside your leadership to define and deliver your AI roadmap.

Advisory retainer

For teams that want regular reviews, guidance and second opinions.

Who’s Behind This

Two hands-on builders, not a generic consultancy.

Radi Becker

CTO-as-a-Service, system designer & AI-native execution leader.

After ~15 years driving complex technology initiatives, designing large-scale systems, and leading engineering teams across enterprises, government, and startups, Radi realised what he enjoys most is the adrenaline of the beginning — transforming ambitious ideas into working, intelligent systems.

Key Roles & Experience

  • CTO & Lead AI Architect – Ministry of Health (MOH) digital initiatives
  • Senior Architecture Consultant – large-scale government and healthcare systems
  • Founder & Technical Advisor – multiple AI-driven startup concepts and internal innovation teams
  • R&D and System Design Lead – multi-cloud platforms, data pipelines and AI agent systems
  • External CTO-as-a-Service – early-stage companies adopting AI, automation and LLM technologies

Industry Background

Radi has worked extensively with public healthcare, government digital services, SaaS startups, enterprise platforms, automation systems, agent-based products, knowledge management, and multi-cloud modernization.

AI, Automation & Agent Stack

Radi specialises in designing and building production-ready intelligent systems using:

  • n8n – automation pipelines, agent workflows, multi-step reasoning flows
  • LangGraph / LangChain – agent graphs, memory, tool orchestration, stateful reasoning
  • OpenAI, AWS Bedrock, Vertex AI, Claude, Gemini – model selection, routing, guardrails, evaluation
  • OpenWebUI – custom AI portals, pipes, local/remote hybrid inference, org-wide chat systems
  • Vector DBs: Qdrant, Faiss – semantic search, hybrid retrieval, embeddings
  • RAG systems – full-stack enterprise knowledge indexing & retrieval tuning
  • Ollama / Llama models – on-prem and edge inference for secure environments

Cloud, Backend & System Engineering

Radi’s technical background combines cloud, data and application layers into cohesive, scalable architectures:

  • AWS & GCP – Bedrock, Lambda, Cloud Run, Cloud Functions, containers, VPC, IAM
  • Backend – Python, Node.js, Java, microservices, async APIs
  • Data – PostgreSQL, MySQL, MongoDB, Redis, BigQuery
  • DevOps – Docker, Kubernetes, CI/CD, observability, secure deployments

Education & Professional Foundations

  • BSc in Computer Science (with extensive AI specialisation through professional work)
  • Alumni of advanced architecture, AI and cloud engineering programmes
  • Advisor to public-sector leaders and startup founders on AI strategy & execution

What Radi Specialises In

  • Designing AI agents & multi-agent architectures
  • Building RAG knowledge systems for enterprises
  • Delivering production-grade AI automation
  • Architecting multi-cloud systems for scale and security
  • Transforming legacy platforms into AI-native products
  • Leading R&D teams to real execution

Shlomi Zevin

CTO-as-a-Service, systems architect & AI-driven product execution specialist.

With over 15 years of hands-on experience across startups, scale-ups and enterprise environments, Shlomi has built engineering teams, architected complex platforms, and led products from zero-to-one through full production deployment. What drives him is turning vague ideas into fast, tangible execution — systems that actually work, scale, and deliver measurable impact.

Key Roles & Experience

  • Founder & VP R&D – Fantasy Advantage
  • Founder & CEO – Brokerim
  • R&D Group Manager – Panaya
  • CTO-as-a-Service – multiple AI-focused startups
  • Lead architect for automation, agent systems & cloud-native products

Product, Systems & Architecture

Shlomi combines deep technical execution with product thinking — bridging business goals with real-world engineering. His work focuses on building systems that require clear logic, reliability, automation and cross-domain integration.

  • Designing agent-driven products and multi-step automation flows
  • Architecting cloud-native, event-driven and microservice platforms
  • Building high-clarity logic for finance, ops, support and workflow-heavy domains
  • Integrating AI with real APIs, backends and complex business rules
  • Leading engineering teams through delivery, not just planning

AI, Agents & Automation

Shlomi specialises in blending LLM capabilities with real-world system execution:

  • LLM-powered agents connected to APIs, billing systems & CRMs
  • RAG & enterprise-grade retrieval systems for structured/unstructured data
  • Agent governance, evaluation, observability & risk handling
  • Automation tooling: n8n, LangGraph, agent workflows, state machines
  • Designing negotiation, decision-making & compliance-friendly flows

Cloud, Backend & Engineering Stack

Deep experience across cloud, backend, data and frontend systems:

  • AWS, GCP – scalable deployments, serverless, containers, VPC design
  • Backend – Node.js, Python, Java, distributed systems
  • Frontend – Angular, React, modern SaaS interfaces
  • Data – PostgreSQL, MySQL, MongoDB, SQL Server, Redis
  • DevOps – CI/CD, Docker, orchestration, monitoring

Education & Professional Background

  • BSc in Computer Science – Bar Ilan University
  • MBA – College of Management
  • Air Force Ofek Unit – advanced intelligence & systems training
  • Advisor to founders and leadership teams on building AI-native products

What Shlomi Specialises In

  • Zero-to-one execution and MVP acceleration
  • Designing production-ready agent systems
  • Building automation for complex business logic
  • Transforming ideas into working, scalable systems fast
  • Clear communication between product, tech & business stakeholders
  • Leading engineering teams toward predictable delivery

For the last two years, we’ve been deeply focused on LLMs and agent systems – combining our ML/AI background with real-world engineering to build agents that interact with complex codebases and systems, not just documents.

Tech Stack & Tools

We work with the tools that make sense for your environment – not the buzzword of the month.

LLM & Agent Platforms

  • OpenAI, Anthropic, and other major model providers
  • Tool-calling / function-calling patterns
  • Agent frameworks & graph-based flows
  • RAG / GraphRAG architectures

Backend & Services

  • Node.js, Python, Java
  • REST & Webhook-based integrations
  • Microservices and serverless patterns
  • Event-driven architectures

Cloud & Data

  • AWS, Google Cloud, Azure
  • Postgres, MySQL, SQL Server, MongoDB
  • Redis, queues and caching layers
  • Vector databases & search engines

Frequently Asked Questions

Some of the things teams usually ask us before we start.

Do you only build chatbots?

No. We focus on agents that can take actions: calling APIs, updating records, creating tickets, triggering workflows, scheduling payments and more. Conversation is just the interface.

How do you handle security and compliance?

We start from your constraints: data residency, PII, logging, access control, audit requirements. We design agents so they operate within strict boundaries and produce traceable logs for review.

We already have engineers. Why involve you?

Your team knows your product and domain best. We bring deep experience in agents, LLM patterns and integration design, so together we move faster, avoid common pitfalls and ship something reliable.

What if we’re not sure where to start?

That’s normal. We can start with a strategy + design engagement: map opportunities, size the effort and recommend a concrete first agent with clear success metrics.

Do you work on small projects?

We work with startups and small teams, but we aim for projects where the agent has a meaningful impact – not just a toy chatbot on a website. If the scope is too small, we’ll tell you honestly.

Where are you based? How do we collaborate?

We’re based in Israel and work remotely with companies worldwide. We’re used to async work, clear documentation and regular check-ins to keep everyone aligned.

Let’s Talk About Your Agent

Share a bit about your company and what you’re trying to achieve. We’ll come back with honest feedback and concrete next steps – even if the conclusion is “you don’t need us yet”.

  • Best for product, ops, data and innovation leaders
  • We can sign an NDA if needed
  • We prefer real problems over buzzwords

Prefer email? Reach us at: shlomi@boostart.io

No spam, no mailing lists – just a direct reply from us.