Generative AI development · Jerusalem

Generative AI development company in Jerusalem

Senior engineers who move at startup speed, plug into your codebase and work most of your day.

Clarigo Infotech is a generative AI development company that builds GenAI products for businesses: copilots for your team, content, image and document generation, fine-tuned models and private LLMs that run on your own cloud. We connect models to your data with retrieval and guardrails, so outputs are grounded and safe to use. A focused GenAI product usually goes live in 25 to 30 days.

Israeli startups and tech companies most often hire us for AI and LLM products, SaaS platforms and extra senior engineering capacity alongside their own team.

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10+

Years of delivery

600+

Projects delivered

20+

Countries served

25-30

Days to a live MVP

Get a free consultation

Tell us what you need. A senior engineer replies within one working day.

No obligation. We reply within one working day.

What matters to Jerusalem teams

Speed, depth and direct communication

Israeli teams move fast and expect engineers who can keep up: senior, hands-on and direct. We work as an extension of your team, not an agency layer.

01

Senior engineers only

People who have shipped this before and can pick up an existing codebase in days.

02

Your processes, your tools

Your Git flow, your sprint rhythm, your Slack, including Sunday-to-Thursday schedules when agreed.

03

Straight answers

Direct feedback on scope, risks and trade-offs, so decisions happen quickly.

04

AI and deep tech

LLM apps, agents, RAG and computer vision built for production, not demos.

What we do

What our generative AI development covers

Copilots and assistants

In-app assistants that draft, summarise, answer and take actions for your staff or customers, grounded in your own data.

Content generation

Product descriptions, marketing copy, reports and emails generated in your brand voice, with review steps before anything is published.

Image and media generation

Product imagery, design variations and visual assets generated from prompts or templates, built into your existing workflow.

Document generation

Proposals, contracts, summaries and structured reports drafted from your templates and records, ready for human sign-off.

Fine-tuning

Models fine-tuned on your examples when prompting and retrieval are not enough, with evaluation to prove the gain.

Private LLMs

Open-source models such as Llama, Mistral or Qwen hosted on your own cloud, so sensitive data never leaves your environment.

In depth

How we approach Generative AI development

Prompting, retrieval or fine-tuning

Most GenAI products work best with good prompts plus retrieval from your own documents. We only recommend fine-tuning when you have enough quality examples and a clear gap that retrieval cannot close, because it adds training and maintenance cost.

Choosing the right model

We compare GPT, Claude, Gemini and open-source models on your real tasks for quality, speed and cost before committing. The architecture keeps the model swappable, so you can switch providers as prices and capabilities change.

Guardrails and review

Generated output goes through checks for format, tone, facts against your sources and sensitive content. Where accuracy matters, we add a human approval step and keep a log of every generation.

Private by design

We use API providers configured not to train on your data, or host open-source models on your own cloud. For healthcare work, our HIPAA-trained team builds to HIPAA requirements.

Working with us from Jerusalem

Remote, but close to Jerusalem

Time-zone overlap

Israel is only two and a half to three and a half hours behind India, so our working days overlap for most of the day, including Sunday-to-Thursday schedules when agreed.

The Israeli Protection of Privacy Law and Data Security Regulations

We design products to the Protection of Privacy Law and the Privacy Protection (Data Security) Regulations: access controls, encryption, logging and data kept in the cloud region you choose. We sign NDAs and data agreements before work starts.

Billing

Invoices in Israeli new shekels (ILS) or US dollars. Typical senior rates are $25 to $49 (USD) per hour, or a fixed price for a defined scope.

Sectors · Jerusalem

Where we help Jerusalem businesses most

Jerusalem's healthtech, edtech and deep-tech companies work with us on web and mobile products, AI features and the platforms that support them.

Cybersecurity

Security startups need polished SaaS dashboards and fast releases. We start with one costly process and automate it end to end.

Fintech

Payments and insurtech firms build global-first products. We build AI agents, assistants and automation around these workflows.

Healthtech

Digital health firms combine medical data with AI. AI here usually means faster reporting, fewer manual steps and better customer replies.

Agritech and water tech

Irrigation and water innovators sell IoT platforms abroad. We start with one costly process and automate it end to end.

Jerusalem time · Jerusalem

Meetings in your time zone

Our team's hours, in Jerusalem time

06:30–16:00

Monday to Friday

Overlap with your working day

09:00–16:00

About 7 hours every day

Daily stand-up

09:30

Jerusalem time, plus written updates every evening

Local setup

What we set up for Jerusalem

Messaging channels

WhatsAppTelegramLinkedIn

Languages

HebrewEnglishArabic

Local payments

Credit cards (Isracard, Cal, Max)BitPayBox

Data hosting

AWS Israel (Tel Aviv) and Google Cloud me-west1 (Tel Aviv), in your own cloud account, so data stays where your rules require.

Process

How it works

Week 1: discovery and design

A free call to understand your goal, then a written scope, a fixed quote and a clickable design you can test.

Weeks 2-3: build and integrate

Senior engineers build in short sprints, connect your systems and demo working software every week.

Week 4: test and launch

We test with real data, set up monitoring and deploy to your own cloud account, then go live.

After launch: support and grow

The same team stays on for support, improvements and new features, with guaranteed response times.

FAQ

Generative AI development company: questions from Jerusalem

Do you work with companies in Jerusalem?+

Yes. Clarigo Infotech works with companies across Jerusalem, including Jerusalem, Modiin, Beit Shemesh, as part of clients in 20+ countries. Israeli startups and tech companies most often hire us for AI and LLM products, SaaS platforms and extra senior engineering capacity alongside their own team. We work remotely from India with one in-house team.

What time-zone overlap do we get from Jerusalem?+

Israel is only two and a half to three and a half hours behind India, so our working days overlap for most of the day, including Sunday-to-Thursday schedules when agreed.

How do you handle the Israeli Protection of Privacy Law and Data Security Regulations?+

We design products to the Protection of Privacy Law and the Privacy Protection (Data Security) Regulations: access controls, encryption, logging and data kept in the cloud region you choose. We sign NDAs and data agreements before work starts.

Which currency do you bill in, and what does it cost?+

We bill in Israeli new shekels (ILS) or US dollars. Senior engineers typically cost $25 to $49 (USD) per hour, and fixed-scope projects such as an MVP in 25 to 30 days are quoted after a free consultation.

Where will our data be hosted?+

Usually in AWS Israel (Tel Aviv) and Google Cloud me-west1 (Tel Aviv), or wherever your data rules require. Everything runs in your own cloud account, so you stay in control.

Do you support WhatsApp?+

Yes. Customers in Jerusalem often prefer WhatsApp and Telegram and LinkedIn, so we connect chatbots, notifications and support flows to them.

Do you work with cybersecurity companies?+

Yes. Cybersecurity is one of Jerusalem's key sectors, and we build AI agents, assistants and automation around these workflows.

How long does it take to build a GenAI app?+

A focused generative AI product for one use case typically goes live in 25 to 30 days. Fine-tuning or private model hosting can add time, which we agree in the scope.

Do we need to fine-tune a model?+

Usually not at first. Prompting with retrieval from your documents covers most needs. We recommend fine-tuning only when testing shows a clear benefit.