Compare AI tools

	Skye A	Perplexity S	NeuralSet A	Symphony A
Tagline	An agentic iPhone home screen that replaces your static icon grid with AI widgets that proactively surface health, calendar, finance, and local context — without you having to open a single app.	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.	OpenAI's open-source daemon that turns your Linear board into an always-on coding agent factory — tickets go in, pull requests come out.
Category	Agents	Research	Research	Agents
Pricing	Waitlist / Beta (pricing not yet disclosed)	Free + $20/mo Pro	Free (MIT open source)	Free (open-source)
Best for	iPhone power users who are frustrated that Siri is still reactive and want their home screen to actually anticipate their day.	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.	Engineering teams already using Linear + OpenAI Codex who want to stop babysitting agent sessions and instead let the issue tracker drive autonomous coding at scale.
Strengths	Ambient, proactive intelligence delivered via native iOS widgets — no app-switching required Cross-domain context: health, calendar, email, finances, and local recommendations in one layer Works within iOS permission model (no jailbreak or sideloading), making App Store approval plausible Strong pre-launch signal: 25k+ waitlist and backing from a16z, True Ventures, and SV Angel	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	Fully autonomous ticket-to-PR pipeline: every open Linear issue gets its own isolated Codex agent without manual supervision Fault-tolerant Elixir/OTP architecture automatically restarts crashed agents and manages hundreds of concurrent runs WORKFLOW.md keeps all orchestration policy version-controlled inside the repo, so agent behavior is reproducible and reviewable like code Proven internal results: OpenAI reported a 500% increase in landed PRs on some teams within three weeks Open spec encourages community re-implementations in any language, not just Elixir
Weaknesses	Still pre-launch / beta — zero proven track record and no public pricing yet iPhone-only by design, which immediately locks out half the smartphone market Battery drain and privacy concerns from constant ambient context scanning are real and unresolved	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	Currently only supports Linear as an issue tracker — GitHub Issues and Jira integrations are not yet official Only OpenAI Codex is officially supported as the agent runtime; other model integrations are community-contributed and incomplete Self-hosted, Elixir-dependent engineering preview with no built-in sandboxing — not suitable for untrusted or production environments out of the box
Kai's verdict	The concept is genuinely compelling — turning the home screen into a living AI layer is a smarter bet than yet another chat interface — but this is vaporware until it ships publicly and we see whether Apple's sandbox lets it breathe. (Verdict pending Phi's full review.)	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.)	Symphony is the most architecturally serious 'issue tracker as control plane' approach yet — 15K GitHub stars in weeks confirms the idea resonates — but it's still a rough, self-hosted engineering preview that demands Elixir chops and a Linear-only workflow. (Verdict pending Phi's full review.)
Link	Open →	Open →	Open →	Open →