Fragmented integrations bottlenecked testing. Centralizing on Bedrock doubled throughput to benchmark coding models in parallel.
A 2023-founded AI platform provides the communication layer that connects Large Language Models with external applications and tools.
Managing separate integrations for multiple model providers required developers to switch between different SDKs and APIs, creating significant...
“We and our clients needed a way to experiment rapidly with multiple AI models without the overhead of managing separate integrations.”
Integration layer for connecting AI agents with external tools and APIs.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Ambiguity slowed development cycles. Agents now reason through code reviews and refactors, saving 2,300 hours per client.
Standard inference stalled at 1k tokens/sec. A custom engine hit 10k/sec, cutting 20-second refactors to under 400ms.
Testing chunking strategies bottlenecked RAG deployment. A real-time sandbox now validates optimal settings instantly.
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.