Problems we're investigating.
Rine is exploring where software products struggle most with engineering files and technical documents. Rather than claiming off-the-shelf coverage, we evaluate workflows alongside product teams using representative files and explicit success criteria.
Investigation Phase · Evidence-led evaluationWhere customer pull actually concentrates.
In engineering-heavy software products, files are rarely an isolated technical challenge. Teams often already have object storage, viewports, or file upload handlers.
The friction starts when unstructured engineering information trapped inside drawings, schedules, specifications, and attachments needs to become reliable, typed data inside a business application or AI workflow.
We are actively testing four problem archetypes to determine which are repeatable, separable, and valuable enough to justify specialized infrastructure.
Four Core Exploration Directions
Technical Documents → Structured Workflow Data
Extracting callouts, schedules, component specs, and dimensions from drawings and PDF attachment sets so product teams can feed structured records into estimation, ERP, or verification tools without human data entry.
High-Volume Engineering-File Operations
Handling hundreds of heterogeneous, customer-uploaded CAD files in automated intake pipelines where corrupt headers, archaic versions, and missing references break standard processing queues.
Representation & Entity Mapping
Mapping proprietary CAD layer schemes, block hierarchies, and coordinate systems into standardized JSON representations that can be consumed by web viewers and AI reasoning agents.
Design-Partner Workflow Evaluations
Direct technical engagements where teams provide representative production files, define measurable success criteria, and test whether an automated pipeline provides authentic utility before any commercial claim is made.
Our Design-Partner Protocol
Representative Assets
You share real-world files reflecting the complexity, corruption, and variety your product actually encounters.
Target Output
We define precisely what structured data, schema, or representation your downstream product requires.
Success Metric
We agree upfront on what acceptable means: accuracy, tolerance, extraction recall, or processing speed.
Rigorous Testing
Rine tests the workflow against that standard and performs manual fidelity checks on outputs.
Roadmap Decision
If the capability proves genuinely useful and repeatable, it earns its way into our production roadmap.
Rine only represents capabilities as supported after they have been built and rigorously verified. If your product needs a workflow outside our historical benchmarks, we treat it as an open problem to evaluate.
Have a workflow problem we should understand?
Tell us what engineering information your product needs to extract and what makes the file layer difficult today.