# Bicycle AI

> Bicycle AI builds analytics agents for high-volume retail, payments, travel, and logistics businesses. Its software monitors revenue-critical KPIs, investigates business and technical causes, and recommends actions within customer-defined controls. It works with existing warehouses and operational systems; named customers include UrbanPiper, Billtrust, bigbasket, Priceline, and ACERTUS.

- **Founded:** 2020
- **Headquarters:** Cupertino, United States
- **Founders:** Bhaskar Sunkara (Co-founder and CEO), Rajiv Shivane (Co-founder and CTO)
- **Products:** Bicycle agentic analytics platform, Vibe Analytics, Bicycle on Snowflake, Bicycle on BigQuery
- **Notable:** Billtrust case study reports investigation times falling from 2-3 days to under four hours and more than 1,000 merchants monitored daily by a two-person team., UrbanPiper case study reports resolution moving from days to hours across a customer network of more than 45,000 restaurant locations., Bicycle customer materials associate bigbasket with top-1,000-SKU availability improving from approximately 80% to 95%.

## Products & services

- **Bicycle agentic analytics platform** — KPI monitoring, business and technical cause investigation, action recommendations, and retained operating context, delivered through alerts, data stories, chat, and dashboards.
- **Vibe Analytics** — Self-service entry path built around one KPI and one working agent over a focused two-week trial.
- **Bicycle on Snowflake** — Read-only, scoped, in-place warehouse analysis with editable event, dimension, and KPI mappings; the company advertises first-agent setup in about 10-15 minutes.
- **Bicycle on BigQuery** — Read-only warehouse integration using customer-scoped permissions and in-place queries, with customer-controlled refresh schedules.

## Achievements

- Billtrust case study reports investigation times falling from 2-3 days to under four hours and more than 1,000 merchants monitored daily by a two-person team.
- UrbanPiper case study reports resolution moving from days to hours across a customer network of more than 45,000 restaurant locations.
- Bicycle customer materials associate bigbasket with top-1,000-SKU availability improving from approximately 80% to 95%.
- ACERTUS customer materials report on-time delivery moving from 75% to 82%, with 85% described as a target/trend rather than an achieved result.

## Latest updates

- **2026-07** — In an Experiencing Data interview, Sunkara discussed the launch of self-service access, the move toward vertical agents, and the need to win both business and analytics teams.
- **2026-09** — Newsroom Edition 01, dated September 24, highlights the retail benchmark, an ecommerce webinar, and read-only Snowflake/BigQuery setup.
- **2026-10** — Newsroom Edition 02 centers on governance and trustworthy analytical answers.
- **2026-10** — The October 21 article “Why Can’t I Just Do This With Claude?” separates metric semantics, statistical detection, model-assisted explanation, policy, and outcome verification.

## Links

- Website: https://bicycle.ai/
- LinkedIn: https://www.linkedin.com/company/bicycleai-agentic-analytics
- YouTube: https://www.youtube.com/@bicycle_ai

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Profile page: https://yespress.io/bicycle-ai
Published by YesPress — https://yespress.io
Last updated: 2026-10-25