When it fits

If one of these
sounds familiar.

  • An AI pilot that worked in the demo and never reached users
  • People spend hours searching for information across documents and systems
  • A manual, repetitive process waiting to be automated
  • You need AI on sensitive data that cannot leave the organization
  • Video, audio or scanned documents that need to become data

What you get

The deliverables.

Every system ships with a success metric, monitoring and documentation.

AGENTS

AI agents

Agents that do work inside a process: retrieve, analyze, draft and update systems, with human approval.

RAG

Knowledge systems

Source-grounded answers from your documents and systems, filtered by each user’s permissions.

VISION

Computer vision

Detection and tracking in video and images with YOLO and VLMs, including on edge hardware.

SPEECH & NLP

Speech, NLP and Hebrew

Transcription, summarization and analysis of text and speech, including Hebrew.

LOCAL LLMS

Local models

Open-weight models running on your servers when data cannot leave.

EVALS

Evaluation and benchmarking

Comparing models on your task before choosing, and continuous measurement in production.

How it works

Three stages.

Each ends with a clear deliverable.

01

Discovery

Two weeks: the process, the data, the success metric and the architecture.

02

Build and deploy

Development in your environment, released in stages to real users.

03

Measure and hand over

Quality metrics, monitoring, documentation and training for the team that runs it.

Technology

The tools in this area.

  • Claude
  • GPT
  • Gemini
  • Qwen
  • Llama
  • RAG
  • Vector search
  • Agentic
  • YOLO
  • VLM
  • Speech
  • Python
  • FastAPI

Relevant work

01Enterprise · Business & legalIsrael · US · London · UAE

End-to-end AI systems for enterprises

The challenge. Organizations that wanted AI on their own knowledge and systems, and projects stuck in security and compliance committees.

What we built. Agentic systems and RAG knowledge bases with secure connections to enterprise data and core-system APIs. Model and vendor evaluation, and a reasoned Build vs Buy recommendation for management.

STACK
  • Agentic
  • RAG
  • APIs
  • RBAC
RESULT

AI governance frameworks that restarted projects stuck in security and compliance committees.

LET’S BUILD WHAT’S NEXT

What do you want
to move forward?

30 minutes on your processes, systems and blockers. We’ll look at what is worth building, what to buy and what not to do at all. No commitment.

Book an intro call eylon360@gmail.com+972 54 739 9511

Other services

01 · STRATEGY & LEADERSHIPStrategy & technology leadershipFractional CTO: roadmap, Build vs Buy, vendors and budget.03 · DATA, CLOUD & INTEGRATIONData, cloud & integrationCloud and on-prem, core-system integration, APIs and automation.04 · SECURITY & GOVERNANCESecurity, governance & regulationAI policy, classification and access control, privacy regulation.