Compare AI tools

	Devin A	Perplexity S	NeuralSet A	Gemini A
Tagline	Cognition Labs' autonomous coding engineer.	AI search done right. Cited answers, not chat theater.	Meta FAIR's open-source Python library that finally bridges the gap between neuroimaging data (fMRI, EEG, spikes) and modern deep learning pipelines.	Google's answer. Best integrated with Workspace + free for a lot.
Category	Agents	Research	Research	Chatbots
Pricing	$500/mo	Free + $20/mo Pro	Free (MIT open source)	Free + $20/mo Advanced (bundled with 2TB Drive)
Best for	Engineering teams offloading tickets. Ops/platform work.	Replacing Google for any question where you want a cited answer in seconds.	Computational neuroscience researchers who want to train deep learning models on brain recordings without building custom data pipelines from scratch.	Anyone already on Google, research tasks, summarizing long documents.
Strengths	Works like an engineer — takes Slack tasks, opens PRs Handles multi-hour engineering work Reports back with what it did	Sources every claim Fast, current answers Pro Search runs multi-step research Spaces for persistent context	Unified interface across fMRI, MEG, EEG, iEEG, fNIRS, EMG, and spike trains — no more siloed modality-specific tools Lazy, memory-efficient loading that scales to terabyte-scale OpenNeuro datasets without RAM blowout Native HuggingFace integration for embedding stimuli (text, audio, video) using models like DINOv2, CLIP, Wav2Vec, and more Pydantic-based config validation catches bad BIDS paths or filter settings at init, not after hours of wasted compute Scales from local laptop prototyping to SLURM clusters without rewriting infrastructure code	Native Google Workspace integration Very long context (1M+) Deep Research feature Free tier is generous
Weaknesses	Expensive Best for well-scoped tasks Not for solo hobbyists	Not a general chatbot Answers can be shallow on complex topics	Extremely niche audience — only useful to neuro-AI researchers with Python/PyTorch chops and access to neuroimaging datasets No GUI or managed cloud environment; requires local setup and familiarity with BIDS data formats Still a preprint-stage release with no arXiv paper yet — API stability and long-term maintenance are unproven	Writing quality trails Claude Over-refusals on edge content UI is cluttered
Kai's verdict	A-tier for the right use case. Not for solo devs. If you manage engineers, try one license.	S-tier for search. I use it before Google now. If you're still Googling everything, try this for a week.	If you're doing neuro-AI research, this is the plumbing you've been manually building for years — finally done right by the team that actually runs these experiments at scale. Extremely narrow use case, but within that lane it looks genuinely best-in-class. (Verdict pending Phi's full review.)	A-tier. The Deep Research feature is genuinely useful. Don't sleep on it if you're already paying Google.
Link	Open →	Open →	Open →	Open →