Robot model
BrainChip Akida
BrainChip Akida neuromorphic computing processor for ultra-low-power event-driven AI at the robotic edge.
- Manufacturer
- BrainChip
- Form factor
- other
- Maturity
- commercial
- Lifecycle
- active
- Website
- brainchip.com ↗
The verified answer
As of Oct 2026, DEPLOY verifies BrainChip Akida, a other by BrainChip (commercial). 2 sources back the record.
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Track BrainChip Akida on Deploy.
We notify you when a verified state change lands on the record, not when the company issues a claim.
Key facts
Neuromorphic edge AI
Commercial hardware
Akida page prints 128 nodes and 128 MACs
Akida page prints 4-bit and uW to mW
Data & sources
Web sources
2
2 sources backing this record.View all →
Pricing
No verified price is on record for BrainChip Akida. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdSep 6, 2026
Added to the verified registry
Safety record
No incidents on record for BrainChip Akida.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Sources (2)
Common questions
What is BrainChip Akida?
How much does BrainChip Akida cost?
Is BrainChip Akida actually deployed in the real world?
Who makes BrainChip Akida?
Can you buy BrainChip Akida?
What are alternatives to BrainChip Akida?
How does BrainChip Akida compare to ASML EUV TwinScan?
Is BrainChip Akida a top other?
What is BrainChip Akida's maturity stage?
Where is BrainChip Akida deployed?
Is BrainChip Akida safe?
Methodology: Verified · 2 sources (no primary) · last reviewed 2026-10-03
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-10-03
Maturity + lifecycle
Maturity stage: commercial
Lifecycle: active
Architectural position
Cohort: other
Sources by quality tier
- 2
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for BrainChip Akida.Machine-readable surfaces
- Markdown mirror: /models/brainchip-akida.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/models/bcd7446f-c3d8-4123-b04f-7ec6c2dfaba3
- Revision history: /models/brainchip-akida/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
Not enough verified signal yet to place BrainChip Akida against other robots. Reality and attention percentiles publish once the underlying record clears its data floor.
6-month trend
Analysis
Thin deployment record; scale validation still in progress.
Signal flags
Dimension breakdown
Verified signal
Attention (reach, not merit)
DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.
DEPLOY Indices — verified vs claimed
Last computed: Oct 4, 2026