Your product team wants to test RAG with three different vector databases, compare embedding models, and experiment with chunking strategies. Each variation means filing engineering tickets. Engineering backlogs measure in quarters. By the time you test approach No. 2, your competitor already shipped the winning solution.
AI innovation requires rapid experimentation, but traditional data infrastructure forces slow, sequential testing. Want to try Pinecone vs. PGVector? Build two pipelines. Test different embedding dimensions? Rebuild transformations. Compare chunking strategies? More engineering work. Your AI team’s velocity is capped by data provisioning speed. Test one approach per month and you’re stuck validating your first guess. Competitors testing weekly discover what actually works and ship it before you’ve finished your second experiment.
Meanwhile, every experiment needs a new pipeline. Small-scale tests require full production infrastructure. You can’t afford to experiment because spinning up each test is too expensive in both time and compute.
Here’s how Matterbeam accelerates AI velocity:
The Matterbeam Iteration Engine makes experimentation mechanical. Test different chunking strategies, compare embedding dimensions, route data to multiple vector stores — all with deterministic replay for traceable, reproducible results.
The Unified Stream feeds all experiments in parallel from the same immutable source. Point-and-click emitters let you stream to Pinecone, PGVector, and your local vector database simultaneously. Your RAG experiment with OpenAI embeddings runs at the same time as your Anthropic experiment and your custom model test. The Replayable Log means you test on identical data across all approaches — true apples to apples. Zero duplication. Zero interference.
Found a winner? Instantly promote to production. No rebuilding. No “now let’s do this for real with production data.” Your test infrastructure is your production infrastructure. Spin up new use cases in minutes, not months.
AI teams iterate faster, testing multiple approaches simultaneously instead of waiting months between experiments. When you can experiment freely, you ship better AI products faster.
Promoboxx, a marketing platform serving 40,000+ local businesses, will ship AI experiments weekly instead of quarterly. Before Matterbeam, testing a new AI feature meant months of pipeline work. Now they’ll spend their time building intelligence instead of pipelines. That’s not just faster. That’s a fundamentally different competitive position.
We guarantee your AI data readiness. If your AI experiments aren’t running faster in the first 60 days, we refund 100%.
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