JES — AI-native software consultancy

Software forthe world’s mostunforgiving industries.

Mission-critical systems for healthcare, physical AI, security, and heavy industry — with AI agents that carry real workloads and humans who hold the last word. Deployed on AWS, GCP, Azure, and air-gapped OpenStack HPC.

agent · compliance-audit · hipaa-prod · awaiting human sign-off

Why we exist

Hospitals. Mines. Fleets. Factories. The places where software failure costs more than money. JES designs, builds, and operates the systems they run on — AI agents included, accountability always.

  • University of Toronto
  • MIT
  • Avante Security
  • Deloitte
  • CoveNeuro
  • Bombardier
  • Vedanta Resources
  • Hindustan Zinc
  • Reliance
  • NetraMark

Industries

Four worlds. One standard.

Deep specialization, not general-purpose consulting. Open a vertical — these are the domains we know cold.

01

Healthcare &
Life Sciences

  • HIPAA & NIST compliance engineering
  • Clinical & research data management
  • Drug development platforms on HPC
  • PHI de-identification pipelines
Enter

02

Physical AI

  • Robotics autonomy & control
  • UAV platforms & flight operations
  • Perception & computer vision at the edge
  • Fleet telemetry & mission dashboards
Enter

03

Security &
Surveillance

  • Security control centers & event monitoring
  • Asset monitoring across sites
  • Live location & IoT integration
  • Computer-vision intrusion detection
Enter

04

Oil & Gas · Mining ·
Manufacturing

  • Digital twin development
  • Process mapping & improvement
  • ERP development
  • Methods optimization
Enter

The System

Mission control for the real world.

This is what runs underneath: agents with guardrails, telemetry from the field, and humans holding the last word.

compliance-agent · hipaa-prod

$ jes agent run compliance-audit

plan · 4 tasks · tools: policy-scan, phi-map

scanning access policies … done

mapping phi data flows … done

report ready · human sign-off requested

fleet-ops · uav-perception

$ jes fleet status --all

14 edge nodes healthy · model v2.3 live

perimeter-cv: 3 sites monitored

false-alarm rate: nominal

telemetry buffered · links stable

plant-twin · refinery-04

$ jes twin sync --site refinery-04

telemetry streaming · process map in sync

anomaly scan: 0 critical

drafting maintenance work order …

queued for operator review

ComputeAny cloud. Any datacenter.AWS · GCP · Azure · air-gapped OpenStack HPC · GPU scheduling
DataGoverned, end to end.Pipelines · clinical & industrial data · PHI de-identification
IntelligenceAgents with guardrails.Tool-using agents · evals · computer vision · MLOps
OperationsOwned to steady state.SRE · monitoring · incident response · clean handover

Agentic where it helps. Accountable everywhere.

In regulated industries, novelty doesn’t excuse failure. Every agentic system we ship is measured, guarded, and owned by humans.

  • Agents in production — scoped permissions, complete audit trails.
  • Evals before vibes — behavior measured on your real cases, red-teamed before rollout.
  • Guardrails by design — policy checks, human approval gates, rollback paths.
  • Compliance-aware AI — HIPAA and NIST constraints applied to models, prompts, and data flows.
  • AI-accelerated delivery — our own agentic toolchain shortens cycles; senior engineers own every line.

Approach

From first conversation to steady-state operations.

01DiscoverDomain immersion, constraint and compliance mapping, and a shared definition of what "working" means for your system.
02ArchitectSystem design with explicit failure modeling, security posture, and infrastructure choices justified against your requirements.
03BuildSenior engineers shipping in production standards from day one — code review, CI/CD, testing, and documentation included.
04OperateMonitoring, incident response, and continuous improvement — or a clean handover with the runbooks to match.

04

Industry verticals

03+

Clouds, plus on-prem HPC

07+

Enterprise & research clients

02

Continents served

Have a system that has to work?

Tell us what you're building and the constraints it lives under. We'll come back with an honest read on how we'd approach it.