Our mission is to become the enterprise standard for AI-powered research intelligence — transparent, cited, and verified. Here's how we're getting there.
Transform from a research tool to the enterprise standard for verified AI intelligence
Every claim is cited. Every source is visible. Every API call is tracked. No black-box outputs.
Specialized AI agents collaborate, debate, and cross-validate. Higher accuracy through consensus.
Cross-validation across multiple authoritative sources. Confidence scores you can trust.
Academic, Finance, Medical, Legal, Patent, Real Estate — one framework, many domains.
Current research methods are fundamentally broken
AI models can make up citations, invent papers, and confidently state false information. Professionals need verified sources.
Searching academic databases, SEC filings, and patent offices — hours of work for a thorough review.
Single-source research misses contradictions and conflicting data. Errors slip through.
Tracking sources, formatting citations, managing references — tedious and error-prone.
Key milestones on our journey to category leadership
Launch Academic Agent Pro MVP, fix critical bugs, add auth + persistence, reach first user milestones.
Launch Finance Agent Pro, add team collaboration, begin enterprise features.
Compliance features, SSO/SAML, API access, launch 4+ domains.
Multi-agent research platform with real API integrations. Live at qphiq.com.
Security and stability improvements before scaling.
Enable user accounts, report persistence, and metrics tracking.
Pre-built starting points to reduce friction and show use cases.
Prove multi-domain thesis with SEC filings and financial data integration.
Enable teams to share research and collaborate on reports.
Developer-friendly API for integrations and custom workflows.
Get research out of QphiQ and into your workflow.
Enterprise-grade security and compliance for regulated industries.
Enterprise identity management and access control.
Clinical research with medical literature and trial data.
IP landscape analysis and competitive intelligence.
When users discover the power of verified research
Users who complete multiple reports quickly discover the value of verified, cited research. That's when QphiQ becomes indispensable.
Our unique approach to AI-powered research
See every source, every API call, every step. You know exactly where your information comes from.
We don't rely on a single source. Multiple authoritative databases are queried and cross-referenced.
Every claim is backed by real data from authoritative APIs. No hallucinations, no made-up citations.
Know how reliable each finding is with data-driven confidence scores based on source quality.
Professionals who need verified research
PhD students, postdocs, and research scientists who need comprehensive literature reviews.
Research and development professionals who need to stay current with scientific literature.
Business and research analysts who need rapid, verified intelligence for projects.
Analysts who need deep company and market intelligence with verified sources.
Plans designed for every stage of your research journey
The foundation we're building on
The values that drive our product decisions
"Transparency is the moat."
"Every claim must be verifiable. Every source must be cited."
"Save researchers hours, not minutes."
"Build for the researcher who can't afford to be wrong."
Experience the future of verified AI research. Start with free reports — no credit card required.
Technical details and priorities for development
Stay focused — avoid these temptations
Web-first. Mobile can wait until after product-market fit is proven.
Pick a few domains, prove them, then expand. Don't spread too thin.
Users will ask, but it's a rabbit hole. Standard formats only for now.
Nice-to-have, not must-have. Focus on core research workflow first.
Signals that indicate we need to pivot or adjust strategy
If initial user milestones aren't being reached, investigate acquisition channels.
If users aren't converting to paid, the value proposition may need refinement.
If API costs exceed sustainable levels, pricing or efficiency needs adjustment.
If customer interviews reveal it's not a "must have," reassess the problem being solved.