Go Live in 60 Seconds
We've abstracted Analytics, Debugging, A/B Testing, Prompt Management & Evaluation so
you can stop wasting dev-resources building internal tools for AI
Speed up time-to-market
& boost Product Quality
Spend time focusing on your customers & NOT complex AI toolchains
Create, Manage, Version, Deploy & Monitor Prompts
Excel and Notion DON'T scale. 1-Platform to sync Business & Dev for Prompt creation, iterations, deployment & rollouts
Create, Manage & Deploy prompts, models, parameters & test all scenarios at once - Built for Businesses
Auto-Versioning of Prompts for seamless rollout / rollback without any Dev involvement
Debug with ease
Finding out where the error happened in the chain is a daunting task.
Real-Time Logging with filters
All Logs Stored for Easy Search and Filtering by Model, User, Custom Metadata,
Monitor your applications throughout the lifecycle of a request
Out of box Application Analytics
Find power users, Monitor Costs, Track Errors, Analyse User Feedback, Track Latency, Find peak traffic hours, Add custom tags & Search realtime logs
Discover Top Users, Analyze Feature Adoption, Find Unique Users, Use Custom Metadata Filters, Apply Model-Specific filters
Graphs visualising Cost w.r.t Prompts, User, Provider, Model & Custom-Metadata
Analyse which users are giving thumbs up / down across various use-cases
Visually monitor, log & trace errors that happen En-Route to LLM
Custom Events Tracking
Add custom tags specific to your business in header & use it to filter users, cost, requests, feedbacks & error
Graphically visualise mean latency at P95, P50 w.r.t prompts & custom cohorts
AI in Production is hard!
Which of these problems ring a bell? 🔔
Who are we & Why us?
We're builders, have built & scaled 5+ SAAS products (1 Exit, 4 failures) in past 4 years. We're backed by Upekkha & have built 3 LLM apps in past 12 months. We realised that making AI Prototypes is easy; production's a nightmare.
As scale hit, we had to build a lot of internal tools to solve for Monitoring, Observability, Evaluations, A/B Testing, Caching, Prompt & Config Management, Rollouts, key management, PII redacter, etc.
We've faced these hurdles, jumped 'em, and now building the track for your smooth sprint from demo to production. Honestly, we're solving our own itch & for the first time playing our own game! Join
Major Upgrades Coming Soon
Your feedback fuels our progress. Checkout new features in progress.
Simplifed Debugging - Observe Every Step in the Chain
Visualise nested trace & examine each step's output to pinpoint issues alongside a live playground to test & fix in real-time!
End to End Testing & Evaluation Suite
Dataset Curation, AI-Assisted evaluation, Evaluate Chain performance and Easy Benchmarking.
Over 50% RAG queries are a repeat. Stop making LLM calls & serve them from cache to see ~30% LLM cost reduction with a simple toggle to turn ON the semantic caching!
Super easy to use experimentation platform for Data-Driven product Improvements
Rapid Experimentation with GUI Workflows
Easy Chain Deployment: GUI Workflows and End-to-End Observability in One Package
Need more info? We're just a Discord message or email (abhinav [at] dreamboat.ai), and we're quick!