Why trust one AI when you can verify with five? Get consensus-backed answers that multiple AI models agree on—automatically fact-checked and peer-reviewed.
What are the key considerations for implementing microservices architecture?
Ask ChatGPT, Claude, and Gemini the same question. Get 3 different answers—all confident.
Every model has training biases and knowledge gaps. Single responses hide these blind spots.
Business decisions based on unverified AI advice? That's a recipe for expensive errors.
KEA Research solves this by making AI models fact-check each other
Think peer-reviewed research, but automated and instant. Here's how we turn competing AI opinions into rock-solid insights.
5 AI models answer independently. No collaboration yet—just pure, unfiltered perspectives from each AI's unique training.
Now they see each other's work (anonymized). Each AI improves its answer by learning from peer insights.
The AIs become judges. They rank each other's answers on accuracy, completeness, and logical consistency.
The top-ranked AI crafts your final answer—verified by peers, fact-checked, and consensus-backed. This is what you see.
Whether you're making million-dollar decisions or building critical systems, these features have your back.
Every claim is cross-checked by 5 AIs. Disputed facts get flagged instantly. No more confident hallucinations.
Go infinitely deep into subtopics while maintaining complete context chains. Every layer runs its own independent AI consensus cycle—a groundbreaking approach found nowhere else in the AI research space.
Upload images, get multi-model analysis. Perfect for diagrams, charts, and visual decision-making.
See every AI's initial response, refinement, and evaluation score. Perfect for compliance and audits.
Markdown for docs. JSON for apps. HTML for reports. Your data, your format.
Built-in support for 75 languages plus TTS. Your team speaks English? Great. They don't? Still great.
Bring your own API keys. Mix and match providers. Switch models anytime. That's the power of open source.
From Fortune 500s to indie hackers—anyone who needs verified answers, not confident guesses.
Make million-dollar decisions with confidence
Should we expand to Europe? Which market segment should we target? Get consensus-backed answers validated by multiple AI strategists.
Ship faster with peer-reviewed technical decisions
Microservices or monolith? Which database for this use case? Get architectural advice validated by multiple AI engineers.
Accelerate literature review with verified facts
Cross-validate hypotheses, synthesize research, and fact-check findings with multiple AI research assistants working in parallel.
High-stakes decisions need high-confidence answers
Legal research, medical analysis, financial planning—when mistakes cost money or lives, you need answers backed by multiple expert-level AIs.
Making KEA Research even more powerful
Vector database for semantic search and long-term research memory. Remember everything you've ever researched.
Real-time web search with multi-AI verification. Get current information, not outdated training data.
No complicated configs. No dependency hell. Just one command and you're running.
Copy, paste, hit enter. That's it.
curl -fsSL research.kea.sh | shirm research.kea.sh | iexLATEST_TAG=$(curl -s https://api.github.com/repos/KeaBase/kea-research/releases/latest | grep '"tag_name"' | cut -d'"' -f4)git clone https://github.com/keabase/kea-research.git && \
cd kea-research && \
git checkout $LATEST_TAGcp .env.example .env
# Edit .env with your preferred text editor
nano .env # or vim .env, or code .envdocker compose up -d$LATEST_TAG with a specific version like v0.1.1git fetch --tags && LATEST_TAG=$(git ls-remote --tags origin | grep -o "v[0-9]*\.[0-9]*\.[0-9]*$" | sort -V | tail -n 1) && git checkout $LATEST_TAG && docker compose up -d --build$LATEST_TAG = (Invoke-RestMethod -Uri "https://api.github.com/repos/KeaBase/kea-research/releases/latest").tag_name$zipUrl = "https://github.com/KeaBase/kea-research/archive/refs/tags/$LATEST_TAG.zip"; `
Invoke-WebRequest -Uri $zipUrl -OutFile "kea-research.zip"; `
Expand-Archive -Path "kea-research.zip" -DestinationPath "."; `
$folderName = "kea-research-$($LATEST_TAG -replace '^v','')"; `
cd $folderNameCopy-Item .env.example .env
# Edit .env with your preferred text editor
notepad .env # or code .envdocker compose up -d$LATEST_TAG = "v0.1.1" for a specific versionRemove-Item kea-research.zipDuring installation, you'll be prompted for API keys (OpenAI, Anthropic, Google, Mistral, xAI, Ollama). Press Enter to skip—add them later in the Admin Panel.
Access the web interface at localhost:8080
Using custom domain with SSL?:8443
Join developers and teams who've switched from single-AI guesswork to multi-AI verified insights. It's free. It's open source. It's yours.