Solutions for research and knowledge teams

Make documents, extracted fields and source-linked answers easier to inspect without erasing uncertainty or expert review.

Compare relevant workflows Inspect the linked work

Begin with the operating context

A useful research system preserves the source, revision, extraction method and unanswered questions. Evaluate retrieval separately from synthesis. Local processing can reduce selected external transfers but still needs access control, capacity planning and maintenance.

Useful first questions

Which source version was available when the answer was produced?
Can a reviewer trace a field or statement to its evidence?
What must the system leave unanswered or send for expert interpretation?

Keep the boundary clear

These systems support review, not autonomous scientific, medical or legal decisions. Real project examples retain their stated limits and are not fabricated customer outcomes.

These are industry planning paths, not claims that named companies bought these systems or achieved a result.

Practical workflows for this work

Documents and knowledge

Private knowledge search with evidence

Find the approved source version, show supporting evidence and leave unsupported questions unanswered.

First buying option: AI workflow pilot · Quoted after scoping

Explore the workflow Evaluate ranked retrieval

AI, API and MCP engineering

AI release evaluation and regression review

Compare the same cases, see individual regressions and keep cost and latency trade-offs visible.

First buying option: Developer Assurance Kit · $79 one time

Explore the workflow Check expected outputs

Documents and knowledge

Privacy-prepared document and image handoffs

Review text patterns, image metadata and visible regions before a file leaves your workflow.

First buying option: Privacy Preparation Toolkit · $49 one time

Explore the workflow Try local preparation tools

Sites and infrastructure

Local and hybrid AI deployment planning

Choose what should run on-site, what should remain in the cloud and who will maintain the result.

First buying option: Local and hybrid AI systems · Written project quote

Explore the workflow Inspect real local AI projects

Choose the amount of help you need

Use a tool or buy software

Start with working free checks. Buy the named software when its documented scope fits. A license does not include every tool or a production integration.

Compare software

Commission a connected workflow

Agree on one useful result, inputs, alternatives, acceptance, milestones and handoff. Setup, third-party charges and optional care are stated separately.

Review project delivery

Choose a product subscription

Review the named product's current coverage and limits. API and MCP are product access methods, not an added generic access fee. Custom labor is separate.

Compare product plans

One useful next step

Choose the workflow closest to your task, review its acceptance and cost notes, and bring only the context needed to start a conversation.

Build your shortlist Discuss your task

Make the project decision with useful evidence

Compare simpler alternatives, full costs and operating ownership. Keep a reusable scope before committing to a product or commissioned connection.

Build your project pack Prepare delivery and procurement Read the buyer guides