SYSTEM NOMINAL / ----.--.-- --:--:-- UTC LOCAL / DOC DOC-CO-001capability
ultramassive memo DOC-CO-001
date:
sat, aug 9th 2026
to:
primes, contracting officers, and enterprise evaluators
from:
founding team, autosymbotic division
subject:
the control plane for applied intelligence

deterministic AI, or it doesn't ship.

FIG.1 // routed inference substrateNODES · LIVE

UltraMassive Advanced Scientific Research Corp is a Combat-Related Disabled Veteran and Minority Owned Small Business in Detroit, Michigan. Through our Autosymbotic division we build AperX, the UltraMassive.ML Autotelic Routing Engine, and the Enterprise NOC that operates them, so organizations can run large models like infrastructure rather than experiments.

Most failures in production AI are operational, not model failures: no telemetry, no threshold, no audit trail, no owner. Our strategy treats inference as a routed, metered, observable utility.

  1. Route, do not guess. Every request is scored against a possibility-necessity band before a model is chosen.
  2. Prove it in the open. The console ships open source and every panel resolves to a public preprint.
  3. Operate it like infrastructure. Drift, saturation, provenance, and failover belong in a NOC, not a notebook.
  4. Price the externality. Grid intensity is a first-class routing input.
0
layers, one control plane
0
NOC telemetry decks
0
core competencies
0
live deployment accuracy
### what we buildthree layers, one control planeREV 2

AperXplatform

platform layer

Autosymbotic's substrate for applied intelligence: identity, adapters, the provider abstraction, and the SDK surface downstream products build against.

UltraMassive.ML (A.R.E.)engine

decision layer

Relational-hypergraph featurization with possibility-calibrated tier selection across Nano, Standard, and Frontier: the layer that decides which model answers.

Enterprise NOCconsole

operations layer

Thirteen telemetry decks spanning routing, drift, performance, MLOps, security, data, and quantum operations, with environmental impact metered continuously.

13 decksENV_IMPACTSLA 99.98%
### objectiveswhat the routing decision optimizesREV 1
Cost
route majority traffic to smallest sufficient tier
Latency
routing overhead below the inference it displaces
Auditability
every decision replayable from a versioned contract
Carbon
steer elastic workloads to low-intensity grids within SLO
### capability statementfor primes and contracting officersREV 1

The short version, on one page, so you can qualify us without a meeting.

  • LLM routing and inference economics. Admit each request to the smallest sufficient tier; gate side effects on necessity.
  • Operable AI infrastructure. First-class routing, drift, saturation, provenance, and environmental metering.
  • Explainable, defensible decisions. Every routing choice carries a recorded, auditable rationale.
  • Human-in-the-loop evaluation. Structured external review, each judgement verified by a second reviewer.
  • Applied research delivery. AperX as the platform layer moving research artifacts into production.
  • Routing as a calibrated decision, not a heuristic. Possibility against necessity, so policy holds as models change.
  • Built to be operated. We ship the telemetry surface with the engine.
  • Evaluation with provenance. Reviewers keep authorship; verified judgements are attributable.
  • Detroit-based engineering. A domestic team working on infrastructure problems.
  • Enterprise evaluation. A scoped pilot routing live traffic with full NOC telemetry.
  • Research collaboration. HiTL Lab access under a two-way NDA that protects your IP.
  • Subcontract or teaming. Available to primes pursuing AI routing, evaluation, or observability work.
Legal name
UltraMassive Advanced Scientific Research Corp
Location
Detroit, Michigan, USA
UEI
M56HEXXMJC47
CAGE code
22QR2
NAICS
541511 · 541512 · 541715 · 518210 · 541690
Status
CVE / MBE small business
### contactbring us your hardest routing problemREV 1
ultramassiveml.io
contact@ email
execute mutual NDA
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