A narrow entry point
Start with checks that have explicit inputs and a reviewable output: shipment-document comparisons and freight-bill comparisons against agreed rates.
FOR INVESTORSA practical beginning.
A practical beginning.
An ambitious direction.
Corvane is an early-stage AI workflow business for freight operations. We’re starting with shipment paperwork and bill checks, then testing the path to a more connected back office.
START AN INVESTOR CONVERSATIONWHERE WE AREConcept &
prototype planning.
prototype planning.
The website demonstrates the intended workflow with fictional data. Our next milestones focus on customer discovery and a narrow prototype.
- Two focused launch workflows
- Three co-founders
- India as the initial market
THE THESISThe shipment has context.
The shipment has context.
The back office should too.
Invoices, packing lists, agreed rates and freight bills describe the same shipment. Connecting that information could reduce repeated manual review and make the next action easier to explain.
A clear product boundary
AI reads the source. Defined rules compare the values. A person reviews the evidence and approves any outgoing message.
A wider direction
If the first checks prove useful, shared shipment context may support more preparation, finance and coordination workflows.
WHAT NEEDS TO BE PROVENA credible story
A credible story
needs a clear evidence plan.
Our initial milestones are designed to answer these questions before the product expands.
| Question | Planned validation |
|---|---|
| Is the pain repeated? | Plan 15 interviews to understand how independent freight teams review documents and bills, how often the problem occurs, and who owns the budget. |
| Can the check be trusted? | Evaluate extracted fields, comparison findings, source references and reviewer corrections on a labelled sample set. |
| Does it fit the workflow? | Review redacted historical examples with permission, then agree a bounded pilot and measure review time and usable outcomes. |
| Will a customer pay? | Test the willingness to pay for a useful, recurring workflow with the actual buyer. Pricing and commercial targets remain to be validated. |
| Can it support a business? | Measure the cost of extraction, review and support alongside repeated use, customer value and the economics of a paid pilot. |
No verified customer, revenue, live-integration or recovered-savings claims are presented. A fundraising amount, valuation and round structure have not been published.
THE FIRST RESOURCESDiscovery, a focused prototype,
Discovery, a focused prototype,
and the work to validate it.
These are the areas we intend to prioritize as we develop the product and discuss early support.
Customer discovery
Understand real documents, review responsibilities and the recurring task worth solving first.
Product & evaluation
Build the first comparison workflow, the source view and the evaluation process behind its findings.
Pilot readiness
Define a bounded scope, clear data-handling terms and practical support for the teams testing it.
EXPLORE CORVANEMeet the people.
Meet the people.
See the first workflow.
Harshdeep Athawale, Parth Deshmukh and Aditya Kumar are building Corvane together. The public overview brings the product focus and next milestones into one place.
THE NEXT STEP
Let’s talk about the first milestone.
We welcome investors interested in a focused AI workflow business and the evidence needed to build it.
- Talk directly with the founders
- No confidential documents needed
- Fictional or redacted examples welcome