Relevance AI
AI agent platform
A separate vector DB failed performance benchmarks. Consolidating on one platform scaled daily processing from 200k to 1 billion tokens.
- ~3,000% ROI for clients via AI agents
Two-second search lags bottlenecked AI. Cutting retrieval to 10ms enabled fully autonomous sales outreach and CRM updates.
A low-code automation platform trusted by Autodesk and Roku allows companies to build autonomous agents for sales and customer support tasks without coding.
Surging demand on the platform exposed bottlenecks in the in-house vector database, causing search latencies of two seconds. These delays prevented...
“Every millisecond counts, and slow vector searches were limiting our AI agents from delivering instant, accurate responses.”
Low-code platform for building and managing autonomous AI agents and workforces.
In-memory data platform for real-time applications, caching, and vector search.
Related implementations across industries and use cases
A separate vector DB failed performance benchmarks. Consolidating on one platform scaled daily processing from 200k to 1 billion tokens.
Sifting 400M records stalled sales. AI agents now query 40 sources instantly to push prioritized leads directly into CRM.
Spikes across scattered channels bottlenecked support. Generative AI now fields voice and text instantly, with zero human aid.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.