Skild Brain
Real-time simultaneous inference + data collection — dynamically updates in-context representation as the robot encounters new situations. Lets the system adapt to novel embodiments / unseen environments without explicit fine-tuning. Pre-trained on internet human video + physics sim.
At a glance
- Type
- In-context real-time memory + live data collection
- Tier
- T1
- Created
- 2023 (Skild AI founded 2023 by Deepak Pathak and Abhinav Gupta; Pittsburgh PA)
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- No public pricing; $4k–$15k target hardware cost enabled by Skild Brain
- Funding
- $1.7B total $14.0B val Series C · 2026-01
Taxonomy
- storage
- vector
- retrieval
- attention
- persistence
- session
- update
- overwrite
- unit
- episode
- governance
- opaque
- conflict
- overwrite
When to use
Optimised for: real-time perception + spatial reasoning + multi-modal sensor fusion
Anti-fit: not for non-embodied / non-physical use cases
Pros & cons
Pros
Real-time in-context adaptation — robot updates representation as it acts, instead of relying on offline fine-tuning between deployments.
Cons
Robot-specific; rapid in-context updates raise stability concerns under distribution shift; no published failure-mode analysis.
Claims & capabilities
~$30M ARR within months of 2025 commercial launch. $1.4B raised at >$14B (Jan 2026).
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Cloud inference + on-robot edge deployment
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- MCP
- no MCP support advertised — vertical product, no MCP server / client integration documented
- A2A
- no A2A protocol support advertised — vertical product, no A2A integration documented
- OpenTelemetry
- no OpenTelemetry integration advertised — vendor logs/observability not publicly documented
Similar systems
Other vertical / domain-specific ai memory in the catalog, ranked by inbound references.
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- Abridge T1
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- ASAPP GenerativeAgent T1
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- BenevolentAI T1
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- Causaly T1
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- Character.ai T1
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