Cyborg Index · July 2026

Beacon-15 vs Slate-10

Both humanoids read on the same 8 axes and 40 sub-axes, using the published Index scores. Every difference below carries the public evidence behind it, and sub-axes with no public evidence count as 0 rather than being skipped.

Overall standing

Capability score · 0–5 over 40 sub-axes

Beacon-15

Vendor Nu

2.90of 5

Rank

Coverage

35/40

Proof

2.04

Rank up 7 to 5 (was 12)

Slate-10

Vendor Juliet

1.77of 5

Rank

#12

Coverage

21/40

Proof

0.85

Rank down 3 to 12 (was 9)

The short answer

Beacon-15 scores 1.13 higher than Slate-10, and independent evidence backs it.

70% of Beacon-15's score is carried by independently verified material rather than claims alone. Slate-10 has more unscored ground than the gap between them, so this could change next month.

Where Beacon-15 is ahead

Deployment+1.53Independently backed
Autonomy+1.41Independently backed
Manipulation+1.22Independently backed
Learning+1.22Independently backed

Where Slate-10 is ahead

Not ahead by enough on any axis to be worth reporting.

What would change it

16 sub-axes on the trailing side have no public evidence yet. If all of them scored full marks they would be worth 2.00 — against a gap of 1.13.

Manipulation · Force controlup to +0.125
Autonomy · Instruction followingup to +0.125
Autonomy · Generalizationup to +0.125
HRI · Nl instructionup to +0.125
Learning · Sim to realup to +0.125

There is more unscored ground than there is gap, so this result could turn over after the next research month.

How much we know

70%of sub-axes covered

We have public evidence for 70% of the 40 sub-axes across these two.

Beacon-15 · 88%

Slate-10 · 53%

The shape of each score

Beacon-152.90

35/40 sub-axes have evidence

Faint outline = Slate-10

Slate-101.77

21/40 sub-axes have evidence

Faint outline = Beacon-15

Reading the wheels — clockwise from the top

1 Locomotion
2 Manipulation
3 Perception
4 Autonomy
5 Learning
6 HRI
7 Deployment
8 Safety

Each wheel has 40 spokes — five per axis. A longer spoke is a higher score, and the dashed rings mark 1 to 4. Hover or tab onto any spoke to read the axis, the sub-axis and the exact value. A missing spoke means there is no public evidence for that sub-axis yet, which is not the same as scoring zero. The faint outline on each wheel is the other humanoid, drawn on the same scale.

Every axis, every sub-axis

Deployment1.53 Autonomy1.41 Manipulation1.22 Learning1.22 HRI1.09 Perception1.03 Safety0.83 Locomotion0.71

Beacon-15Slate-10

Shared 0–5 track · widest gap first

Deployment

2.54 / 1.02◄ 1.53

Independently backedEvidenced cells · 5/5 vs 5/5

Named pilots

2.33 / 0.84◄ 1.49

Field hours

2.75 / 0.90◄ 1.85

Customer diversity

2.40 / 1.44◄ 0.96

Supportability

2.37 / 0.89◄ 1.48

Commercial posture

2.87 / 1.01◄ 1.86

Autonomy

3.09 / 1.68◄ 1.41

Independently backedEvidenced cells · 5/5 vs 0/5

Unattended operation

3.22 / 1.62◄ 1.60

Task horizon

3.06 / 1.67◄ 1.39

Generalization

3.22 / 1.96◄ 1.26

Instruction following

2.55 / 1.85◄ 0.70

Recovery from failure

3.40 / 1.32◄ 2.08

Manipulation

3.22 / 2.00◄ 1.22

Independently backedEvidenced cells · 3/5 vs 0/5

Grasp variety

3.40 / 1.96◄ 1.44

Bimanual

3.39 / 1.75◄ 1.64

Force control

2.73 / 2.12◄ 0.61

In hand reorient

3.41 / 1.83◄ 1.58

Tool use

3.15 / 2.32◄ 0.83

Learning

2.90 / 1.68◄ 1.22

Independently backedEvidenced cells · 4/5 vs 0/5

Imitation learning

2.68 / 2.18◄ 0.50

Sim to real

3.34 / 1.61◄ 1.73

Foundation policy

3.13 / 1.70◄ 1.43

Data flywheel

2.52 / 1.33◄ 1.19

Transfer fine tune

2.81 / 1.56◄ 1.25

HRI

2.85 / 1.76◄ 1.09

Independently backedEvidenced cells · 5/5 vs 3/5

Speech io

2.39 / 1.90◄ 0.49

Nl instruction

2.64 / 1.97◄ 0.67

Intent recognition

3.28 / 1.68◄ 1.60

Safe proximity

2.61 / 1.61◄ 1.00

Social presentation

3.33 / 1.65◄ 1.68

Perception

3.01 / 1.97◄ 1.03

Independently backedEvidenced cells · 5/5 vs 4/5

Sensor stack

3.28 / 2.31◄ 0.97

Scene understanding

2.90 / 2.04◄ 0.86

Spatial memory

2.93 / 1.57◄ 1.36

Object permanence

3.11 / 2.26◄ 0.85

Semantic world model

2.81 / 1.69◄ 1.12

Safety

2.65 / 1.82◄ 0.83

Independently backedEvidenced cells · 3/5 vs 4/5

Functional safety

3.11 / 1.85◄ 1.26

Certifications

2.26 / 1.87◄ 0.39

E stop arch

2.41 / 1.64◄ 0.77

Incident transparency

3.06 / 1.80◄ 1.26

Force impact limits

2.42 / 1.93◄ 0.49

Locomotion

2.94 / 2.23◄ 0.71

Independently backedEvidenced cells · 5/5 vs 5/5

Flat ground walking

2.67 / 2.41◄ 0.26

Uneven terrain

3.49 / 2.36◄ 1.13

Stairs

3.02 / 2.36◄ 0.66

Disturbance recovery

2.71 / 1.97◄ 0.74

Speed endurance

2.80 / 2.05◄ 0.75

Segment length and thickness are the gapNo public evidence yet

Which is better for what

Each row is decided by the axes that matter for that kind of work, read off the same Capability scores as the ranking. Rows only appear where both humanoids have enough public record to answer.

Manufacturing and warehouse work

Named pilots and field hours, backed by what the hands can actually do.

Beacon-15

Beacon-15 scores higher on Deployment and Manipulation — 2.77 against 1.34 for Slate-10.

Running without a human in the loop

Unattended operation and task horizon, backed by what the robot can perceive.

Beacon-15

Beacon-15 scores higher on Autonomy and Perception — 3.06 against 1.78 for Slate-10.

Moving through difficult ground

Uneven terrain, stairs and disturbance recovery.

Beacon-15

Beacon-15 scores higher on Locomotion — 2.94 against 2.23 for Slate-10.

Working alongside people

Functional safety and certification, plus how it reads and answers people.

Beacon-15

Beacon-15 scores higher on Safety and HRI — 2.72 against 1.80 for Slate-10.

Research and developer use

How much of the stack is documented and reproducible.

Beacon-15

Beacon-15 scores higher on Learning and Perception — 2.93 against 1.78 for Slate-10.

How solid the record is on each side

Beacon-15

Sub-axes on the record: 35 of 40 · 88%
Carried by verified material: 70%
Rests on claims and demos: 0.86

Best documented — Locomotion, Manipulation, Perception, Autonomy, Learning, HRI, Deployment, Safety

Nothing on the record — every axis has at least one read

Slate-10

Sub-axes on the record: 21 of 40 · 53%
Carried by verified material: 48%
Rests on claims and demos: 0.92

Best documented — Locomotion, Perception, HRI, Deployment, Safety

Nothing on the record — Manipulation, Autonomy, Learning

What this comparison cannot settle

Neither humanoid has a public read on 3 of the 40 sub-axes, so those cannot be compared at all.
18 sub-axes are read on only one side. A one-sided cell is undecided, not a zero for the silent side.
Demonstrations happen in different environments and product revisions are not always equivalent, so like-for-like uptime and throughput figures do not exist for most of the field.

Go deeper on either humanoid

Nearby comparisons

All comparisons →

Cyborg IndexJuly 2026 editionCapability scoremethodologypreview cohort