The startup develops an AI software platform that automates the integration of AI formulas through a user-friendly sidebar interface, eliminating the need for users to memorize complex formulas. This solution enables users to efficiently create custom AI models, enhancing productivity without requiring extensive technical knowledge.
Funding
$400K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developers and product teams face challenges in monitoring, analyzing, and optimizing the performance and cost of applications that leverage Large Language Models (LLMs). Existing tools lack the granularity to provide insights into request/response times, token usage, and cost breakdowns specific to LLMs, hindering efficient debugging and resource allocation.
Solution
Flowstack provides analytics and tooling designed specifically for LLMs, enabling developers, product managers, and QA teams to understand their costs, users, and models. The platform offers usage monitoring to track requests, tokens, and cache, along with cost analytics to understand the expenses associated with different users, requests, and models. Flowstack also facilitates LLM optimization by enabling the addition of remote cache, rate limits, and auto-retries. With a simple setup requiring only two lines of code, Flowstack integrates with leading LLMs, providing a centralized dashboard for monitoring and optimizing LLM-powered applications.
Target Audience
Flowstack targets developers, product managers, QA/security teams, customer success, sales & marketing, and operations & finance professionals who are building and managing applications powered by LLMs.
Features
- Usage monitoring: Tracks requests, tokens, cache hits, and other key metrics.
- Cost analytics: Provides insights into the costs associated with users, requests, and models.
- LLM optimization: Enables remote caching, rate limiting, and auto-retries.
- Keyword search: Allows users to search for keywords across all data tables.
- Column filtering: Supports exact and fuzzy matching for filtering data.
- Compatibility: Works with OpenAI, Anthropic, AI21, AWS Bedrock, GCP Vertex AI, and Mistral.
- Free tier: Offers a free plan with unlimited API requests, analytics dashboard, data tables, remote caching, and rate limits.