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
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
Six use cases we take to production most often. RAG, semantic search, and agents are the building blocks; these are the outcomes.
Automated Customer Support
AI support agents that resolve tickets from your knowledge base and your systems, with escalation and guardrails. Deflect first-line tickets and cut resolution time, as we did for Bank Poalim. AI customer support automation →
Agentic eCommerce
Conversational storefronts and AI product discovery: shoppers find, compare, and buy by chatting, like on ChatMarket. Built on your catalog and your search stack. Agentic eCommerce →
Talk to Your Data
Natural-language questions over your warehouse and databases: governed text-to-SQL, verified answers, and no dashboards to build first. Text-to-SQL & conversational analytics →
Enterprise Knowledge Assistant
RAG assistants over docs, tickets, and wikis. Grounded, cited, and permission-aware, on hybrid search over your own data, as in Boomi Knowledge Hub. AI knowledge base & knowledge assistant →
Intelligent Document Processing
Extract, classify, and validate data from PDFs, contracts, and forms with multimodal LLMs, at scale, with human review where it matters. Intelligent document processing →
Agentic Workflow Automation
Agents that run multi-step back-office processes across your tools, with evals, observability, and human-in-the-loop approvals. Agentic workflow automation →
10+ years
Production data & search systems
Weeks
From idea to production, not quarters
100%
Built on your data
Yours
Your cloud or on-premises
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.
AI Engineering Insights
AI Use Cases: Customer Support Automation · Agentic eCommerce · Talk to Your Data · AI Knowledge Base · Intelligent Document Processing · Agentic Workflow Automation
Related AI Resources: MCP Server Marketplace · Generative AI Development Services · Generative AI Consulting · AI Agent Development Services · LLM Development Services · AI Readiness Assessment · GenAI & RAG on AWS · What is Agentic AI?
