Questions buyers ask before signing up.

Each project produces a scope package (confirmed requirements, dollar-estimated vendor exclusions, change-order zones, and red-line clauses), an architecture decision map (options, lock-in rankings, switching-cost projections), and an interrogation kit (risk-weighted questions with good- and red-flag-answer guides). Evaluate adds a gap analysis, negotiation playbook, and a live session mode. Every output is structured, typed, and exportable.

A team of agents, each owning a stage. A lead agent (Deal Monitor) assesses the deal and dispatches specialists: scope authoring, scope-drift detection, a commitment ledger, gap interrogation, a demo-to-reality auditor, and a live session co-pilot. They reason across steps, check their own work, and get sharper on a vendor with every deal you run. Ben, your copilot, can answer across all of it.

Generic tools give you a checklist. Benchside applies named, source-backed frameworks against a deep enterprise knowledge base calibrated to your specific project type, vendor, budget, and tech stack before generating a single output. You get a scope package with dollar-estimated exclusions, architecture decisions with lock-in rankings, and interrogation questions with good/red-flag answer guides. The output is structured and typed, not a chat response.

Usually under a couple of minutes. The agent team works the deal stage by stage - you can leave the page and we'll email you the moment the package is ready.

Yes. Export any artifact to PDF, and the scope document and dangerous-clause redlines to Word (.docx) so they drop straight into your existing process. Enterprise adds white-label exports.

Both. The engine detects the deal scale and right-sizes everything. A 24-person startup evaluating a $40K SaaS tool gets the 10 to 15 questions that matter, dollar figures sized to that deal, and the SaaS-specific traps (auto-renewal, the SSO tax, data export on exit). A Fortune 500 running a $40M programme gets the full enterprise depth. Same frameworks, fitted to you.

Vendr helps you negotiate a better price after you've decided to buy. Zip manages the internal approval workflow for your purchase. Both activate after the vendor decision is made. Benchside activates before - it generates the interrogation kit, scope package, and architecture map you need to evaluate whether the vendor is right and what risks you're taking on. Use Benchside first. Use Vendr or Zip after.

Yes, and it is the category where the asymmetry is widest right now. Benchside profiles OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and Google Vertex AI, and generates the AI-specific questions and clauses generic procurement frameworks miss: contractual model-deprecation and behaviour-change notice, training-data indemnification scope, a quality SLA distinct from uptime, agentic spend ceilings with auto-pause, fine-tuned weight return on exit, plus EU AI Act and ISO 42001 coverage. Select the AI / ML Platform project type, or just name the vendor, and the kit calibrates to it.

No. Your project data is organisation-isolated behind row-level security. No data is shared across tenants. The vendor has no visibility into your platform. Even Benchside staff cannot query your project data.

No. Your project description, vendor context, and generated outputs are used only for the generation call, never retained or used for model training. We operate under a strict data processing agreement with our AI infrastructure providers that prohibits training use.