A separate vector DB failed performance benchmarks. Consolidating on one platform scaled daily processing from 200k to 1 billion tokens.
A no-code automation platform enables clients ranging from tech startups to Fortune 500 companies to build customized AI agent workforces.
The company's proprietary NoSQL platform lacked the vector search capabilities required to handle growing volumes of unstructured data. Attempting to...
“We’re a team of 30 people looking to build the automations that we truly believe are set to power next-generation companies. We want companies to only be limited by the size of their ideas, not the size of their teams.”
Low-code platform for building and managing autonomous AI agents and workforces.
Multi-cloud developer data platform for building and scaling applications.
Related implementations across industries and use cases
Two-second search lags bottlenecked AI. Cutting retrieval to 10ms enabled fully autonomous sales outreach and CRM updates.
Rigid data silos slowed engineering. A unified vector foundation now powers AI agents, accelerating development velocity 4x.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
SSetup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.