A fixed-path program, from AI use case to production
AI Launchpad
Your AI Use Case, in Production in Weeks
AI Launchpad packages our generative AI development services into one proven path from idea to shipped: RAG, semantic search, and agentic workloads built on your data, in your cloud or on your premises, and built to stay running. No science projects, no demos that never ship.
Plan Your Launch
Recent Launches
max-security.com
Agentic RAG
SCOUT AI
An AI agent over Max Security's proprietary intelligence, built on OpenSearch, Bedrock, and Claude. Cut briefing time by 79%, saving analysts 7 hours a week.
Read the story →
screensteps.com
screenshot soon
Hybrid Semantic Search
ScreenSteps Search
A hybrid vector + keyword framework on Elastic Cloud, Bedrock, Nova, and Cohere V4 that dramatically improved search precision.
Read the story →
chatmarket.store
AI-Native Commerce
ChatMarket
A conversational storefront where shoppers discover and buy products by chatting instead of browsing categories.
Visit site →
neverblink.ai
screenshot soon
AI for Database Ops
NeverBlink
AI-powered monitoring and maintenance for Elasticsearch, OpenSearch, and ClickHouse clusters. An SRE that never blinks.
Visit site →
BigData Boutique helped us turn AI innovation into practical business value, enabling faster access to information, quicker ticket resolution, better understanding of logs, and faster development across our internal AI initiatives.
Efrat Koren
Bank Poalim
BigData Boutique helped us accelerate the development of Boomi Knowledge Hub, resolve key product and technical uncertainties, and establish a scalable technical foundation we could build on with confidence.
Alon Reznik
Boomi
The Launch Sequence
One repeatable path, four stages. Every engagement runs the same sequence, and that's how it stays fast.
T−3
Use-Case Fit
Pick the workload with the clearest ROI. Scope, data audit, and success metrics before any code is written.
Week 1
T−2
Build on Your Data
Retrieval, pipelines, and agent logic, engineered against your real data from day one, in your cloud or on-prem.
Weeks 2–5
T−1
Harden for Production
Evals, guardrails, cost and latency tuning, observability. Ready for real traffic, not just a demo.
Weeks 6–8
LIFTOFF
Launch and Run
Go live, hand over, and keep it flying: support, optimization, and iteration after launch.
Ongoing
What We Build
AI Agents & Agentic Workloads
Production-ready AI agents that do real work on your data, with orchestration, tool calling, evaluation, and guardrails included. AI agent development services →
RAG & Semantic Search
Grounded, accurate answers over your documents with hybrid vector and keyword search. Retrieval pipelines built for you and run for you. Semantic search & enterprise AI search →
GenAI on AWS, Fast-Tracked
From idea to launch on Bedrock, SageMaker, and OpenSearch, as an AWS Advanced Tier Services Partner with the AI Services Competency. GenAI & RAG fast track →
AI Strategy & Optimization
Already have AI in production? We optimize accuracy, latency, and cost per query, and we get stuck POCs unstuck. AI strategy consulting →
10+ years
Production data & search systems
Weeks
From idea to production, not quarters
100%
Built on your data
Yours
Your cloud or on-premises
Word from Mission Control
What the teams behind our launches say once their systems are live.
“
The early feedback has been great… Our clients have told us the chatbot is a practical, high-impact tool that's already becoming a key part of how their analysts operate day to day.
Dror Becker
CEO, Max Security · SCOUT AI
“
We needed more than a search vendor, we needed a partner who could understand how our users think. BigData Boutique's mix of AI innovation and infrastructure know-how delivered exactly that.
Executive Team
ScreenSteps · Hybrid AI Search
“
BigData Boutique's understanding of hybrid retrieval and their ability to merge semantic and keyword search were key. The new architecture improved results and changed how users trust the search itself.
Executive Team
ScreenSteps · Hybrid AI Search
Ready to Take Your AI to Production?
Bring a use case and we'll tell you in one call whether it's ready to build, and what it takes to get it to production.
