DeepRoute.ai
Composite Score
42.2/100
▲
+22.3
7-Day Δ
Rank
#2
Category
Autonomous Driving Licensing
30-Day Δ
–
Cadence
12-Hour
Methodology
v 1.3
Last Updated
18:23 UTC · 2026-06-22
Composite Weighting
Six factors, each scored 0 to 100 under The Road to Autonomy Autonomous Driving Licensing Index methodology.
-
01
Capability
Technical maturity of the licensed stack. The configuration-floor band is set by the most autonomous commercial configuration any paying licensee runs in revenue service and counted only where it generates commercial revenue.
23/100 ▲ +2.2 -
02
Scale
Adoption and design-win penetration of the licensed stack. Scored on production design wins, distinct licensee count weighted by caliber, annual unit volume contracted to carry the stack, and the rate of new design wins.
67/100 ▲ +5.5 -
03
Revenue
Monetization stage on the licensing ladder, from no activity to pre-revenue, NRE fees, verified royalties, contracted backlog, and realized revenue.
43/100 ▲ +1.2 -
04
Commercial
Quality and breadth of the licensing channel. Scored on anchor production programs, segment breadth across robotaxi / personally-owned consumer ADAS / fleets, ecosystem assembly, and announced pipeline.
55/100 ▲ +3.4 -
05
Integration
Productization and structural moat. Scored on drop-in productization, depth of platform integration, certification entanglement, and the switching cost created by multi-year contractual agreements.
22/100 ▼ -1.1 -
06
Safety
Functional-safety posture of the stack plus penalty events. Scored on ASIL-D / ISO 26262 conformance, independent audits, recalls implicating the stack, open investigations, regulator action, and licensee loss.
47/100 ▲ +2.1
Composite History
DeepRoute.ai's composite score across every 12-hour snapshot since first sealed
Latest
42.2
7-Day Δ
+22.3
Snapshots
43
OMEGA's Take
OMEGA's synthesized read on DeepRoute.ai this cycle, sealed Computed: June 22, 2026, 18:00:53 UTC.
OMEGA is AI and can make mistakes
DeepRoute.ai Targets One Million Vehicle Deployments by Year End 2026
DeepRoute.ai continues to scale its autonomous driving systems, reporting that its technology is currently integrated into 350,000 production vehicles. The company maintains a 24 percent market share in China's urban Navigation on Autopilot sector as it works toward a target of one million equipped vehicles by the end of 2026.
Co-founder Wang Tian stated that the company is preparing to launch products utilizing a foundational model capable of processing complex, context-aware passenger requests. This technological shift is expected to facilitate a significant advancement in autonomous driving capabilities by mid-2027.
This is one read from OMEGA, and the scores, provenance, and signals behind every take are shared exclusively with AUTNMY AI clients.
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