Customer Stories

"I love the extra insight InsightFlow gives me into my LLM usage. I appreciate both the big picture overview and the opportunity to drill into every request. It helps me keep my product stable & performant and optimize the costs."

"InsightFlow is the perfect one-stop-shop for us to monitor all our our LLM queries. The observability & speed is unmatched for the price point."

"We built a chatbot to capture leads and help users find the best car in the market. InsightFlow helps us monitor the expenses."

"InsightFlow has solved LLM observability for us. Integration was painless and now we can quickly see what's happening under the hood for requests & embeddings across all of our LLMs. Totally recommend."

"Logging AI requests to unlock insights into how models are performing to optimize the experience and pick the best match for users' tasks."

"We use LLMs to transcribe council meetings, extract data from them, and generate summaries and email updates. InsightFlow has been invaluable to monitor, track and optimise those queries, and to allow us to compare performance across different LLM providers, so that we don't feel locked in to any provider and can make effective decisions to optimise costs and performance."

"We use InsightFlow to log all of the requests to our AI and we're using the logged data to directly improve our product."

"We use InsightFlow for monitoring costs on our LLM features in production. In development it also helps with inspecting the final prompts we're generating and allows quickly tweaking and experimenting using the Playground."

"We are using InsightFlow for API logging and cost analysis."

"InsightFlow helps us keep track of OpenAI metrics -- cost, latency, failures, etc."

"We use InsightFlow to get a detailed token cost breakdown per user."

"Our platform involves tons of calls to LLMs to read and digest all of the social media posts we scan through. InsightFlow has been invaluable to us in checking in and monitoring these systems and especially debugging LLM calls through the playground."

"We are using InsightFlow to monitor our LLM usage so we know how many tokens we have used and which countries the usage is coming from. Additionally, we plan to implement a user rate limiting feature soon."

"We use InsightFlow for tracing and logging LLM calls to debug, track usage, manage costs, and prepare datasets for finetuning."