Coming in Cami-2 — Research mode is in active development. Sign up to be notified when it launches.
Research Intelligence

AI research that thinks before it answers

Cami queries multiple LLMs in parallel, detects where they disagree, and synthesizes one clear answer. Human+ flags cognitive biases and reasoning gaps. M.I.N. remembers your research context across sessions. Novel thinking -- not regurgitation.

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Two ways to use Cami for research

✎

Chat directly on Cami

Sign in at usecami.com and select Research mode. Ask any research question and get multi-model synthesis with conflict detection and bias flags in a full chat interface. No API, no code, no setup.

Coming in Cami-2
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Integrate via API

Build Cami's research engine into your tools, internal wikis, or products. Upload domain-specific knowledge, embed the widget, or call the REST API for structured multi-model analysis.

Coming in Cami-2
4+

Multi-LLM Synthesis

Cami queries multiple AI models on every question. Where they agree, confidence is high. Where they diverge, Cami tells you exactly what the disagreement is.

H+

Bias Detection

Human+ scans every synthesized answer for cognitive biases -- confirmation bias, anchoring, appeal to authority. You see what the models missed about their own reasoning.

M

Research Memory

M.I.N. tracks your research threads, remembers prior findings, and connects dots across sessions. The more you research, the sharper context becomes.

N

Novel Thinking

Cami doesn't just retrieve -- it reasons. When models disagree, Cami synthesizes a novel position, surfaces the conflict, and explains why. Original analysis, not regurgitation.

How Cami Research works

1

You ask a question

Type anything -- a factual query, a comparison, a deep-dive topic, or a "what does the evidence say" question. Cami works in any domain.

2

Multiple models respond in parallel

Cami sends your question to several LLMs simultaneously. Each model provides its own analysis independently, so no model anchors or biases another.

3

Synthesis + conflict detection

Cami compares the responses, identifies agreement and disagreement, and synthesizes one clear answer. Conflicts are surfaced, not hidden. Human+ checks the synthesis for reasoning biases.

4

M.I.N. learns from the thread

Every research interaction deepens Cami's contextual memory for you. Follow-up questions benefit from prior findings, and Cami connects related threads automatically.

N

Novel thinking, not retrieval

Most AI research tools retrieve existing answers and stitch them together. Cami generates novel analysis by pitting multiple reasoning engines against each other, finding where they converge and where they conflict, and producing an original synthesis you won't find anywhere else.

When Cami spots a gap in existing knowledge, it doesn't hide it -- it tells you. When models disagree, Cami builds a reasoned position and shows its work. This is what separates an assistant that thinks from one that searches.

API tiers for research teams

For teams integrating Cami into their research workflow.

Individual / Small Team

Starter API

Call POST /api/v1/research/query from your tools. Multi-model synthesis in a single endpoint.

  • Multi-LLM parallel query & synthesis
  • Conflict detection in every response
  • Human+ bias flags
  • Confidence scoring
  • Domain knowledge base (upload your docs)
Coming in Cami-2
Research Group / Lab

Professional

Multi-user research environment with shared knowledge, conversation history, and embeddable widget.

  • Everything in Starter, plus:
  • Multi-user support with shared knowledge base
  • Embeddable research widget
  • Research history & conversation threads
  • Scribe integration (voice/video transcription)
  • Priority support
Coming in Cami-2

One call to multi-model research

// POST /api/v1/research/query
{
  "message": "What is the current scientific consensus on intermittent fasting and longevity?",
  "depth": "deep" // or "fast" for quick lookups
}

// Response includes:
// "response", "models_queried", "conflicts_detected", "bias_flags",
// "confidence", "perspectives", "depth"

Note: Cami Research synthesizes information from multiple AI models -- it is not a primary source. Always verify critical findings against original publications, datasets, and domain experts. Cami flags uncertainty and disagreement so you can decide where to dig deeper.