ArcSolve unifies document viewing, contextual AI chat, and connected notes in one flow. Read faster, extract meaning earlier, and keep every insight attached to its source.
Perspectives
ArcSolve unifies reading, contextual queries, connected notes, and structured extraction into one flow. Instead of losing context switching between tools, reach a decision-ready state on a single canvas.
Perspective 01 · Reading Flow
Handle PDFs, images, and web sources simultaneously on a single canvas while maintaining reading context. Accumulate the evidence you need for decisions continuously, without switching tools.
Perspective 02 · Verifiable AI
Questions are anchored to your selected document or paragraph, reducing vague generic responses. AI results can be traced back to source context, improving team review quality.
Perspective 03 · Operational Output
Go beyond summaries and memos by converting to JSON/table outputs that connect directly to operational tools. Focus on turning analytical results into repeatable execution units.
Core Features
Essential tools for document-driven work, delivered through one unified interface.
Handle PDFs, images, and web sources on a single canvas without breaking your reading context. Maintain comparison, verification, and summarization flows without switching tabs.
Unified Viewer Preview
Product Story
A sequential composition that explains the same product from different perspectives to build cumulative understanding.
Story 01 · Capture in one frame
In early-stage research, switching costs are a bigger bottleneck than information volume. ArcSolve lets you handle different input formats in the same interface, so your team can quickly share a common starting point.
Story 02 · Reason with context
Anchoring questions to the current focus context stabilizes answer quality. Instead of finding evidence after getting answers, generate answers within the evidence to lower verification costs.
Story 03 · Ship structured outcomes
Organized notes lose half their value if they don't lead to action. ArcSolve structures results as JSON/tables for easy connection to team operational tools, helping document analysis translate into real workflows.
Use Cases
While each team has different goals, the read-query-connect-extract flow remains the same. The examples below show how the same product serves different roles.
Use Case · Product Team
Product teams can compare key patterns across multiple research documents on one screen and immediately link to prioritized action items.
Use Case · Operations
Operations teams can track change history alongside policy rationale, structure only what's needed, and pass it to downstream systems.
Use Case · Knowledge Team
Knowledge teams can bundle scattered notes into evidence-based nodes, accelerating new member onboarding and reference discovery.
Surface Previews
Scroll horizontally to quickly browse the actual usage flow: intake, analysis, connection, and extraction.
Surface 01
Ingest document uploads, URL collections, and web archives in a unified format.
Surface 02
Seamlessly continue reading, questioning, and note-taking around key paragraphs.
Surface 03
Generate answers within the selected context range to improve result reliability.
Surface 04
Save and reuse key insights alongside their evidence.
Surface 05
Quickly connect to team operational systems with structured outputs.
Surface 06
Bundle evidence, results, and decisions for the next work cycle.
Execution Workflow
Organized around the order in which real operations teams perform research, review, organization, and delivery.
Step 1
Import materials in different formats and align them in a common viewing and browsing interface. Initial organization time shrinks and review starting points become consistent.
Outcome: Reduce context loss caused by input format differences.
Step 2
Link questions to paragraphs and selections to clearly maintain the evidence scope for AI responses. This step creates a verifiable answer loop.
Outcome: Achieve an explainable state for 'why this conclusion' during team reviews.
Step 3
Accumulate ideas as connected working knowledge, not just simple memos. Original source links remain intact for future search and reuse.
Outcome: Research assets transition from individual memory to team systems.
Step 4
Extract summarized insights as JSON/table formats for integration with internal automation pipelines or external tools.
Outcome: Document analysis results connect to actionable operational data.
Step 5
Manage conclusions and evidence traceably on one screen to reduce quality audit and retrospective costs.
Outcome: Achieve both decision speed and reproducibility.
Pricing
Start free and scale as your team grows. Every plan includes the full ArcSolve workspace.
Usage Included
Usage Included
Usage Included