We are not a research-only company. We just happen to rank first at research. Every number on this page comes from the public leaderboard, with the link to check it yourself.
Standings verified against the leaderboard data on August 7, 2026.
CellCog is a general-purpose AI employee platform, not a dedicated research product. Yet on DeepResearch Bench, the public third-party benchmark for deep research agents, CellCog Max ranks #1 on the current leaderboard (GPT-5.5 judge, August 7, 2026) with an overall score of 55.78, ahead of dedicated deep research offerings from Google, OpenAI, and Perplexity.
That is the point worth sitting with: a general-purpose engine at the top of a specialist’s benchmark. The same engine that holds this rank also writes code, produces video and documents, and powers every CellCog AI Employee — research is one modality of many, and it happens to be the one with a public scoreboard.
In one sentence: as of August 7, 2026, CellCog Max (55.78) ranks ahead of Gemini 2.5 Pro Deep Research (49.98), OpenAI Deep Research (47.84), Perplexity Research (43.05), and Grok Deeper Search (41.22) on DeepResearch Bench, the public third-party benchmark for deep research agents.
| Rank | Agent | Organization | Overall score |
|---|---|---|---|
| 1 | CellCog Max | CellCog | 55.78 |
| 2 | WhaleCloud DocChain | WhaleCloud | 54.78 |
| 3 | Bodhi | Independent | 54.07 |
| 4 | Lunon | Lunon | 53.51 |
| 5 | Dalpha DeepResearch | Dalpha | 53.10 |
| 6 | Sourcery | Independent | 51.17 |
| 7 | Gemini 2.5 Pro Deep Research | 49.98 | |
| 8 | OpenAI Deep Research | OpenAI | 47.84 |
| 9 | Perplexity Research | Perplexity | 43.05 |
| 10 | Grok Deeper Search | xAI | 41.22 |
All 10 published entries on the current leaderboard (RACE judge: GPT-5.5), scores verbatim from the leaderboard data as of August 7, 2026.
DeepResearch Bench evaluates deep research agents end to end: 100 PhD-level research tasks across 22 fields, each producing a full research report. An LLM judge scores every report on four dimensions: comprehensiveness, insight, instruction following, and readability. The benchmark is independent, public, and peer-documented, with the evaluation code, paper, and per-task data all open.
CellCog Max scored 56.34 on comprehensiveness, 57.08 on insight, 55.30 on instruction following, and 51.94 on readability, the strongest overall profile on the current board.
Every other name near the top of that table is a product built to do research and nothing else. CellCog Max is the same engine that powers every CellCog AI Employee: the one that builds dashboards, writes code, produces documents and video, and works a real shift with its own inbox and memory. One brain, every modality.
That is the practical takeaway for anyone hiring an AI employee: research quality is the upstream input to almost all knowledge work. An employee that researches at the top of the field writes better briefs, better analyses, and better outreach than one that does not.
Do not take our word for it. The leaderboard is public: open the DeepResearch Bench leaderboard and read the standings directly. The benchmark’s paper and evaluation code are open as well. If the standings move, this page gets updated; the leaderboard is always the source of truth.
Yes. As of August 7, 2026, CellCog Max holds rank #1 on the DeepResearch Bench leaderboard scored by the GPT-5.5 judge, with an overall score of 55.78. The leaderboard is public, so you can verify the number yourself.
DeepResearch Bench is a public, third-party benchmark of 100 PhD-level research tasks across 22 fields, built to evaluate deep research agents end to end. Each agent researches a task and produces a report, which an LLM judge scores on comprehensiveness, insight, instruction following, and readability.
Research quality is the foundation of most knowledge work: an AI employee that researches badly writes bad briefs, bad outreach, and bad analyses. CellCog AI Employees run on the same engine as the benchmarked CellCog Max agent, so the benchmark is a direct measure of the reasoning your employee inherits.
Every number on this page was read directly from the leaderboard’s published data on August 7, 2026, and the page is re-verified when the leaderboard updates. If the standings shift, this page changes; the leaderboard link is always the live source of truth.
On the current DeepResearch Bench leaderboard (GPT-5.5 judge, August 7, 2026), CellCog Max scores 55.78 at rank #1, while OpenAI Deep Research scores 47.84 at rank #8. Both scores are published on the same public leaderboard, so the comparison is directly verifiable.
On the current DeepResearch Bench leaderboard (GPT-5.5 judge, August 7, 2026), CellCog Max scores 55.78 at rank #1, while Gemini 2.5 Pro Deep Research scores 49.98 at rank #7. The full standings, including both entries, are public on the leaderboard.
By DeepResearch Bench, the public end-to-end benchmark of deep research agents, the top-ranked agent as of August 7, 2026 is CellCog Max (55.78), followed by WhaleCloud DocChain (54.78) and Bodhi (54.07). Dedicated research products from Google, OpenAI, Perplexity, and xAI rank 7th through 10th on the same board.
DeepResearch Bench scores each agent end to end: 100 PhD-level research tasks across 22 fields, each producing a full report that an LLM judge grades on four dimensions (comprehensiveness, insight, instruction following, and readability). The paper, evaluation code, and per-task data are all open, so the methodology can be inspected directly.
The agent at the top of that leaderboard is the same one your AI employee runs on. Define the role; it does the work.