We build AI systems that produce a business result
Geva-Amir Finance and Udilis Projects are an Israeli consulting house joining three worlds: R&D and artificial intelligence, project management, and advanced financial structures. From the idea to a system running in production - and the cash flow that keeps it alive along the way.
What a project looks like here
- 1Business processMapping, cost and time today
- 2AI systemAgents, models and integrations
- 3Financing structureBudget, credit and grants
- 4MeasurementEffectiveness and profitability per quarter
A defined outcome · a timeline · one success metric
Why us
Three disciplines most organizations keep apart - here they sit in the same room
An AI program usually fails not because of the model, but because the workflow never changed or the budget ran out halfway. So we bring all three sides together.
Artificial intelligence and R&D
A team that ships products into production - generative models, autonomous agents, core-system integrations and cloud infrastructure.
Finance and cash flow
Credit planning, multi-year budget models, R&D grants and funds, and payment structures for international deals.
Management, operations and rollout
End-to-end project management: schedules, vendors, logistics, user enablement and ongoing measurement.
Services
What we do
Every service is sold as a defined outcome with a timeline and a success metric - not as open-ended consulting hours.
Enterprise AI Transformation
We build the teams and the workflows that let an organization actually run on AI - measured in effectiveness and profitability, not in demos.
R&D and AI Automation
From an idea to a working application. A full R&D team - architecture, engineering, models, integrations and maintenance - under one roof.
Financial Structures & Project Cash Flow
A complex technology program stands or falls on its cash flow. We build the financial structure that keeps development alive over time.
R&D and Export Grants
Years of experience raising credit and grants from funds and banks - applied today to financing technology and AI development.
Project Management & Operations
End-to-end project management: schedules, vendors, logistics and operations - so the work plan becomes a delivered result.
Have a project that needs both technology and a financial structure?
A 30-minute intro call. We will understand what you are trying to achieve and tell you honestly whether and how we can help.
Projects
AI products we built and run
We do not only advise on artificial intelligence - we develop and operate our own AI products in the market. That is what lets us know what actually works.
A marketing platform that creates, schedules and publishes video across social - automatically
LetsTok is a SaaS platform that replaces the marketing production chain: from brief to a video published on the channels. It generates video with generative models, writes the copy, schedules publishing and runs paid campaigns - all from one place.
Read moreA sales agent that lives on the site, knows the business and produces leads
An AI agent embedded in the client's site that learns the business document, the catalog and the pricing, and runs a real sales conversation - answering questions, recommending a product, surfacing product cards and action buttons, and handing off to a human when needed.
Read moreA social presence managed end to end, without a marketing department
Branda runs a brand's social presence: it builds the content plan, produces posts and creative in the brand's voice, schedules publishing across channels and measures performance - in a loop that repeats week after week.
Read moreA lightweight CRM for a business that wants to know what is going on - without an implementation project
Solo ties customers, tasks and people into a single picture: who the customer is, what the status is, what the next task is and who owns it. Simple enough that a team actually uses it, open enough to connect to the rest of the stack.
Read moreAn HR platform that takes a candidate from career diagnosis to the interview itself
YOUACO is an HR-Tech platform we built for recruitment and placement: an AI career assistant that diagnoses and guides the candidate, a job-to-candidate matching engine, a jobs scanner running in the background, and an interview simulator that trains the candidate before the real thing - four modules working off one candidate profile.
Read moreBuilding the teams and workflows that let an enterprise work with AI
An engagement for organizations that want to turn AI from a single pilot into a standing capability: process mapping, ROI-driven use-case selection, building the in-house team, designing the new workflows and measuring effectiveness and profitability.
Read moreHow we work
Four stages from an idea to a measurable result
The same process, whether it is a new product or AI adoption inside an existing organization.
- 01
Diagnosis
Two weeks of mapping: processes, systems, data, costs and the financial picture. The output is a ranked list of opportunities by return on investment.
- 02
Work plan
We pick two or three use cases and define architecture, timeline, budget, financing structure and success metrics.
- 03
Build
An R&D team delivering a working version in short cycles, integrated into the organization's real systems rather than a demo environment.
- 04
Rollout and measurement
Team enablement, procedures and data governance, plus quarterly measurement of effectiveness and profitability - and from there we scale.
The team
People who have done this before
R&D, project management and finance - six professionals who lead the projects themselves, alongside senior advisors when a project needs them.
Blog
What we learned in the field
Articles on enterprise AI transformation, and on R&D and AI infrastructure for companies.
What enterprise AI transformation actually costs - and where the money disappears
Most AI budgets price the cheap part. Here is a breakdown of the real costs, and what we ask a client to budget before we start.
3 min readWhy AI pilots stall - and four conditions that get them out
Almost every organization we walk into already had one successful AI pilot that never became anything. The reasons repeat, and you can handle them up front.
3 min readBuilding an in-house AI team: which roles you really need, and in what order
Many organizations hire a data scientist first and then discover the problem is an engineering one. Here is the hiring order we recommend, and what can stay outsourced.
3 min readHave a project that needs both technology and a financial structure?
A 30-minute intro call. We will understand what you are trying to achieve and tell you honestly whether and how we can help.