Research-grade AI ยท Now in beta

Stop guessing.
Start solving.

Deep Solve cross-references 4 specialized AI engines and 16+ independent searches to deliver research you can actually trust.

Not a chatbot. A research lab in your browser.

deepsolve.cc
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Phase 1 ยท Divergence
Querying 4 specialized engines...
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Phase 2 ยท Cross-Pollination
Cross-referencing discoveries...
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Phase 3 ยท Synthesis
Building convergence matrix...
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Phase 4 ยท Actionable Output
Generating insights & actions...

The problem with AI research today

๐ŸŽฒ

Single-source bias

ChatGPT gives you one perspective. You get confident-sounding answers with no way to verify them.

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Hallucination risk

AI makes things up. Without cross-referencing, you can't tell real insights from fabricated ones.

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Manual grunt work

Doing proper research means 15+ tabs, hours of reading, and trying to connect dots yourself.

Why triangulated research changes everything

One engine gives you an answer. Four engines tell you if it's true.

Traditional AI research
Your question
โ†“
1 AI model
โ†“
Hope it's right
โŒ No way to know what's validated vs. fabricated
vs
Deep Solve
Your question
โ†“
Semantic Engine Factual Engine Precision Engine Depth Engine
โ†“
Cross-pollination (16+ searches)
โ†“
Convergence matrix
โœ… Every insight scored by independent confirmation
4
Specialized engines
queried in parallel
16+
Cross-referenced
searches per run
1โ†’4
Convergence score
on every insight
0
Unverified claims
slipping through

Real results, not promises

Built internally, tested on hard problems, now available to everyone.

"A complex technical architecture project. Manual research estimate: 25 hours.
With Deep Solve's triangulated pipeline: 4 hours 30 minutes. Total."

25h
Manual research estimate
โ†’
4h30
With Deep Solve

The problem: connecting 500+ isolated knowledge nodes across domains. Single-source research returned the same 3 obvious approaches. Deep Solve's 4-engine cross-pollination surfaced 7 additional solution paths from adjacent fields, and the convergence matrix scored which ones were independently validated. Dead ends eliminated before they wasted a single hour.

How Deep Solve works

4 phases. 4 engines. Zero guesswork.

01
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Divergence

Your question is sent to 4 specialized AI engines, each optimized for a different angle: technical depth, recent developments, factual precision, and comprehensive overview.

4 engines ร— tailored queries
02
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Cross-Pollination

Discoveries from Engine A are searched in Engine B, C, D. Concepts are cross-referenced. Domain transfers are forced. 16+ additional searches happen automatically.

16+ cross-referenced searches
03
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Triangulated Synthesis

Results are scored in a convergence matrix. Concepts confirmed by 3-4 engines = high confidence. Single-source findings = flagged for exploration.

Convergence scoring 1โ†’4
04
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Actionable Output

You get structured results: top insights, concrete actions, code (if applicable), and every source. Organized in tabs, ready to use.

Insights ยท Actions ยท Code ยท Sources

Two modes. One engine.

Choose the lens that fits your problem.

Deep Solve

When you need the truth, verified.

  • โœ“ Fact-check claims across multiple sources
  • โœ“ Market research with real data
  • โœ“ Technical deep dives with convergence scoring
  • โœ“ Competitive analysis triangulated from independent sources
  • โœ“ Due diligence on tools, platforms, or strategies
Example query
"Is RAG still the best approach for LLM memory in 2026, or have better alternatives emerged?"
Insights Actions Sources
4/4 RAG remains dominant but hybrid approaches (RAG + fine-tuning) gaining traction
3/4 GraphRAG shows 40-60% improvement for multi-hop reasoning tasks
2/4 Emerging: Memory-augmented transformers may reduce RAG dependency by 2027
1/4 โšก Single-source: "Continuous learning" paradigm in early research phase

Creative Lab

When you need ideas, not just answers.

  • โœ“ Cross-domain innovation (biology ร— tech, art ร— data)
  • โœ“ Forced association between unrelated concepts
  • โœ“ Idea generation backed by real research
  • โœ“ Anti-consensus: find value in "impossible" ideas
  • โœ“ "What if X met Y?" exploration with evidence
Example query
"How could ant colony behavior inspire a better file organization system for developers?"
Insights Code Sources
4/4 Pheromone trails โ†’ file access frequency as "scent" for smart sorting
3/4 Stigmergy patterns: files self-organize based on co-access patterns
2/4 Decay function: unused files gradually "fade" from active workspace
โšก Creative Collision What if your IDE's file tree was a living colony? Files cluster by behavior, not folder.

Output you can actually use

Not a wall of text. Structured, tabbed, exportable.

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Convergence Matrix

Every insight scored 1-4 based on how many independent engines confirmed it.

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Tabbed Results

Insights, Actions, Code, and Sources. Each in its own tab. No scrolling through noise.

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Code Ready

When research produces code, it's formatted with syntax highlighting. Copy or download as ZIP.

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Export Anywhere

Download results as PDF or Markdown. Share with your team or save for later.

Pick your pack

No subscription. No API keys. Buy deep researches, use them anytime.

Explorer
$19

4 deep researches to test the full pipeline on real problems.

  • โœ“ 4 deep researches
  • โœ“ Deep Solve + Creative Lab
  • โœ“ 4 search engines included
  • โœ“ Convergence matrix scoring
  • โœ“ Export PDF & Markdown
Join Waitlist
Power
$99

25 deep researches for teams and heavy researchers.

  • โœ“ 25 deep researches
  • โœ“ Deep Solve + Creative Lab
  • โœ“ 4 search engines included
  • โœ“ Convergence matrix scoring
  • โœ“ Export PDF & Markdown
  • โœ“ Code output + ZIP download
  • โœ“ 30-day result history
  • โœ“ Priority processing
Join Waitlist

๐Ÿ’Ž Everything is included. No API keys needed, no hidden fees. Buy researches, use them anytime.

๐Ÿงช Try before you buy: Your first research is free. See the full pipeline in action with a preview of your results. Buy any pack to unlock it entirely.

Frequently asked questions

What is Deep Solve?

Deep Solve is a web-based research tool that queries 4 specialized AI search engines simultaneously, cross-references their findings, and delivers structured, scored results. Think of it as a research team that works in seconds. Not a chatbot that guesses.

How is this different from ChatGPT or Perplexity?

ChatGPT uses one model, one perspective. Perplexity searches the web but doesn't cross-reference. Deep Solve runs your query through 4 independent engines, each specialized for different types of information. Then it cross-pollinates findings between them (16+ additional searches) and scores every insight by how many sources confirmed it. You see what's validated vs. what's speculative.

What do I need to get started?

Just an account. Everything is included: the 4 search engines, the AI synthesis, the exports. No API keys, no configuration. Sign up, buy a pack, start researching.

How much does each research cost me?

It depends on the pack you choose. Explorer: $4.75/research. Builder: $4.90/research. Power: $3.96/research. Everything is included in the price: 4 search engines, AI synthesis, exports. No surprise fees, no metered API costs on top.

Is my data private?

Yes. Your queries are processed in real-time and not stored beyond your result history. We don't train on your data. Your research stays yours.

Can I export my results?

Absolutely. Every result can be exported as PDF or Markdown. Code outputs can be copied with one click or downloaded as a ZIP file. Everything is structured and ready to use.

What's the difference between Deep Solve and Creative Lab?

Deep Solve optimizes for accuracy: fact-checking, market research, technical analysis. It maximizes convergence across sources.
Creative Lab optimizes for novelty: it forces cross-domain connections, generates hypotheses, and surfaces unexpected combinations. Same engine, different lens.

Ready to research differently?

Join the waitlist. Early access spots are limited.

No spam. You'll get one email when we launch.