Scoped

Scoped is a technical feasibility engine that evaluates API specifications and architecture diagrams against organizational compatibility requirements. It solves a pain point that sales engineers and technical stakeholders know all too well: spending hours manually reviewing vendor documentation to figure out if a proposed solution will actually integrate with existing infrastructure. Instead of that tedious back and forth between technical teams and vendors, Scoped runs automated assessments that deliver quantified alignment scores in under 100 milliseconds. You upload a technical artifact, define your requirements blueprint, and the platform tells you exactly where things line up and where they don't.

The platform accepts multiple input formats including OpenAPI JSON and YAML files for REST API specifications, plus PNG architecture diagrams for visual system designs. File size limits cap at 10MB, which accommodates most standard API documentation and reasonably sized architecture diagrams. Once you feed it a document, Scoped's AI evaluation layer powered by Gemini analyzes the content against four core requirement categories. These include Authentication and Identity standards covering protocols like OAuth, SAML, and SSO compatibility. API Protocol and Data Format compatibility examines REST conventions, payload structures, and versioning approaches. Security and Compliance posture checks encryption, audit logging, and regulatory alignment. Hosting and Infrastructure considerations evaluate cloud platform compatibility, scaling characteristics, and deployment requirements.

Each category gets broken down into specific checkpoints, and the system assigns a pass, gap, or block status to every item. A pass means full alignment with your requirements. A gap indicates partial compatibility that might require workarounds or adjustments. A block signals a fundamental incompatibility that would require significant changes to resolve. The final output is a numerical alignment score from 0 to 100 percent that gives stakeholders an immediate read on how well a proposed solution fits organizational standards. This scoring approach transforms subjective technical judgment calls into quantifiable metrics that procurement and leadership teams can actually work with.

What makes this particularly useful during pre sales cycles is the deep dive capability. When Scoped identifies a gap or blocker, it doesn't just flag the problem and walk away. The platform provides AI generated workarounds and mitigation strategies that technical teams can evaluate. Maybe an API doesn't support your preferred authentication method natively, but a proxy layer could bridge the gap. Perhaps a hosting requirement looks incompatible at first glance, but container orchestration could provide a viable path forward. These suggestions turn a binary yes or no assessment into an actionable conversation about what it would actually take to make an integration work.

The evaluation engine runs on Gemini for its large language model processing, which handles the natural language understanding needed to parse complex technical documentation. Scoped includes pre built sample specifications so new users can see how the system works before uploading their own files. These samples cover common patterns like enterprise SaaS architectures with multi tenant isolation requirements, legacy ecommerce API configurations dealing with older protocol versions, and multi cloud microservices deployments that need to work across AWS, Azure, and GCP simultaneously. Each demonstrates a different compatibility profile and shows how the scoring system handles various technical scenarios.

Target users fall squarely in the technical sales and solutions architecture space. Anyone who regularly evaluates whether third party tools and platforms will play nicely with internal systems will recognize the value proposition immediately. This includes enterprise sales teams vetting vendor capabilities before committing to procurement processes, technical due diligence during mergers and acquisitions where integration feasibility directly impacts deal value, and platform teams assessing new integration partners. The Sales Engineer Scorecard feature specifically tracks these assessments over time, creating a paper trail of technical evaluations that organizations can reference during procurement decisions and vendor negotiations.

Scoped positions itself as a way to eliminate the manual compatibility review bottleneck that slows down technical sales processes. Traditional approaches require pulling senior engineers into sales calls to eyeball specifications and make judgment calls based on experience and tribal knowledge. That works when deal volume is low, but it doesn't scale when you're evaluating multiple vendors simultaneously or running a high velocity sales operation. Automated feasibility assessment lets organizations run these checks consistently and quickly without burning expensive engineering hours on repetitive analysis tasks.