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The Wherobots Innovation Edition helps you deliver outcomes on top of spatial data that propel your organization forward, and make this data AI-ready.Today we are announcing the Wherobots Innovation Edition. This is an annual partnership that pairs the full Wherobots Cloud platform with our forward deployed spatial engineering expertise, developed over years of delivering solutions, supporting production workloads, and leading the Apache Sedona project.
We are announcing the Innovation Edition out of ongoing demand. The combination of our expertise in building geospatial data pipelines for production environments, and the Wherobots product has repeatedly delivered success for companies in private arrangements. It gives you a direct way to access our team of distinguished spatial data experts, on demand, to accelerate the realization of your goals.
The Innovation Edition is built for one job, which is helping you ship outcomes while making spatial data ready for AI. As a result:
We have proven to customers that AI is already capable of co-piloting these and other innovative, physical-world solutions when it has access to the right context. We have successfully delivered on multiple mission-critical engagements where customers relied on our team to remove roadblocks and deliver outcomes on schedule, and relied on our product to deliver outcomes with data. We are not opinionated on what cloud offering you’re using. Need solutions to thrive in AWS, GCP, Azure, Databricks, and Snowflake? No problem. Wherobots is designed to bring its capabilities into these environments.
Here is what one of our customers, Sergey Sukov at Action Engine has said about working with Wherobots and leveraging the innovation tier. We made this offering public due to customers and partners like Action Engine.
CEO, Action Engine
The Innovation Edition fits your team if you:
Qualification for the Innovation Edition is a lightweight, no-risk process. It is designed to quickly assess whether we are the right partner for your objectives.
1. Reach out. We will schedule a 30-minute call to learn about your objectives and technical requirements.
2. Align on the path forward. We can guide your team, ship insights into your environment, or both. We will respond with the path forward, including timelines, milestones, a proof of value, and architecture. A follow-up call or POC can follow, as required.
3. Subscribe. Once there is mutual alignment, you subscribe to the Innovation Edition and the engagement begins. We will co-build the engagement plan with you and how it will grow over time.
4. Innovate Together. We help you define the objectives and key results that we are achieving together, the technical path to bring results into production, and co-build with you. We will review progress with your team regularly on a weekly or bi-weekly basis, and conduct quarterly business reviews to ensure you are successful.
If you want to get started with an initial discovery call, reach out to us to discuss next steps and building together as a team.
Key takeaways
An annual partnership that pairs the full Wherobots Cloud platform with forward-deployed spatial engineering expertise. The job of the edition is helping customers ship outcomes while making spatial data ready for AI.
Teams with investment in the physical world who need data-driven approaches to risk and opportunity; teams that want to use AI on spatial data already hosted on Databricks, AWS, Google, Azure, or Snowflake; teams that want to build competency and ownership of spatial workflows rather than outsource them; and teams that need solutions fast regardless of data scale, complexity, and type.
No. The post states Wherobots is not opinionated on cloud offering. Solutions can thrive in AWS, GCP, Azure, Databricks, and Snowflake, bringing Wherobots capabilities into those environments.
Qualification is a lightweight, no-risk process: reach out for a 30-minute call on objectives and technical requirements; align on path forward including timelines, milestones, a proof of value, and architecture; subscribe once there is mutual alignment; then co-build OKRs and the path to production, with weekly or bi-weekly reviews and quarterly business reviews.
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