AI-Native

AI-native development

We don’t just use AI tools. We build with them every day — and we help you do the same.

Two capabilities: AI-powered development (we deliver faster, at lower cost) and AI workflow integration (we embed AI into your product and processes). Both in the same team.


40–60%
faster feature delivery vs traditional development
~60%
less time on boilerplate, scaffolding, and repetitive code
3–5×
more context surfaced per sprint with AI-assisted review
$54k–120k/yr
saved vs hiring AI-skilled developers locally in Israel
AI-powered development

Tools we use to build your product faster

Our developers work daily with the tools that are redefining how software gets written, tested, and reviewed.

Claude CodeHeavy use
CursorHeavy use
Figma MakeHeavy use
Claude DesignHeavy use
GitHub CopilotInline pair programming
v0 / Lovable / BoltRapid prototyping
WindsurfHeavy use
Codex / Claude agentsAutonomous task runs
Devin / Replit agentsBackground engineering
AI workflow integration

Tools we use to integrate AI into products and processes

Beyond writing code — embedding AI into your product logic, data pipelines, and team workflows.

Claude APILLM integration layer
LangChain / LlamaIndexRAG pipelines
n8n / Make / Zapier AIWorkflow automation
Pinecone / pgvectorVector search & embeddings
OpenAI / Gemini APIsModel flexibility
Whisper / ElevenLabsVoice & audio AI
MCP serversTool & context plumbing
Ollama / local LLMsOn-prem & private models
CrewAI / AutoGenMulti-agent orchestration

What we ship

AI capabilities we build into production

Not demos. These are AI systems our developers have shipped into real products — across healthcare, fintech, life sciences, and cybersecurity.

Retrieval

RAG & knowledge systems

Retrieval over your docs and data, with grounded, cited answers your users can trust.

Agents

Agentic workflows

Multi-step agents that plan, call tools, and take action across your existing stack.

Product

LLM product features

Copilots, assistants, chat, and natural-language interfaces built into your product.

Search

Semantic & vector search

Embeddings, reranking, and hybrid search that actually surfaces the right result.

Models

Fine-tuning & evals

Domain-adapted models with rigorous eval harnesses — quality measured, not guessed.

Multimodal

Voice & vision

Speech, image, and document understanding wired into real product flows.

Infra

Data & MCP pipelines

Ingestion, enrichment, and MCP tool/context plumbing that feeds models reliably.

Ops

Process automation

Internal agents for triage, routing, reporting, and back-office workflows.

What this saves you

Time and cost savings our clients and partners see directly

Feature delivery timeAI pair programming reduces implementation time on standard CRUD, API wrappers, and component logic.
40–60% faster
Boilerplate and scaffoldingSetup, configs, test stubs, and repetitive patterns generated in seconds not hours.
~60% time cut
Code review and QA cyclesAI-assisted review surfaces issues earlier, before they reach human reviewers.
Fewer cycles
Workflow automationManual internal processes (reporting, routing, triage, summarisation) replaced with AI agents.
5–15 hrs/week
Hiring costAI-fluent senior developers in Israel cost $18,000–24,000/yr more than our equivalent. Multiply by 3–5 devs.
$54k–120k/yr

How we help you move forward

We don’t just deliver code. We bring our AI fluency into your team.

The same developers building your product are the ones who can help you adopt AI tooling, build AI features, and automate the workflows slowing your team down.

01

Build AI into your product

RAG pipelines, LLM integrations, AI-powered search, copilot features, recommendation systems, voice interfaces. Shipped across healthcare, fintech, life sciences, and more.

02

Integrate AI into your dev workflow

We help your engineering team adopt Claude Code, Cursor, and AI review pipelines. Teams who make this shift typically see 30–50% faster sprint velocity within 6–8 weeks.

03

Automate your internal processes

Sales workflows, support triage, document processing, reporting, internal knowledge bases — we identify the highest-ROI automation opportunities and build them into your existing tools.

AI-native development — 20 minutes

See what AI-native development looks like in practice. We’ll walk through a real example from your stack.