Armis
A multi-agent system that learns device workflows and reuses playbooks for cybersecurity remediation.
Read the case studyDedicated Teams / MLOps & AIOps
Senior engineers.
Stronger AI operations.
Bring production AI expertise into your team. TensorOps supports your platform with senior architecture guidance, ongoing technical support and defined coverage for critical incidents.
SLA-defined coverage Senior architects Dedicated Slack or Teams channel
Production engineering experienceBuilt for the complexity
Built for the complexity
of real AI systems.
Our work spans enterprise agents, ML platforms and frontier models. We bring that engineering perspective to the architecture and operational decisions behind your AI platform.
OneBeat
An ML forecasting engine that accounts for pricing elasticity and promotional demand to improve stock planning.
Read the case studyTensorOps × OpenAI
Engineering, operating context and close collaboration to turn frontier models into working business systems.
Explore the partnershipCoverage you can plan aroundThe right expertise.
The right expertise.
Clear commitments.
A dedicated support relationship backed by a shared pool of TensorOps engineers and architects. Choose coverage around your workloads, team and operational priorities.
Critical incidents24/724/7 coverage option
Critical incident response
Bring experienced engineers into infrastructure-wide outages, with a defined escalation path and context from your onboarding.
- Severity assessment and triage
- Investigation and recovery guidance
- Clear updates in your support channel
Initial response targetWithin 1 hour
Response target for covered Sev-1 incidents
Technical supportBusiness hoursAgreed business hours
Everyday technical support
Give your team a direct route to practical help with configuration, troubleshooting and the questions that come with running AI in production.
- Messaging-first support
- Video calls when useful
- Guidance grounded in your environment
Initial response targetSame business day
Response target within your support window
Architecture guidanceSenior expertiseScheduled working sessions
Senior architect on demand
Bring senior perspective to platform decisions, architecture reviews and the next stage of your AI roadmap.
- Architecture reviews
- Proactive technical guidance
- Prioritized recommendations
Initial response targetNext business day
Response target for architecture requests
Coverage options shown. Response targets, severity definitions and business hours are agreed in your SLA. The one-hour target applies to covered Sev-1 infrastructure-wide outages. Initial response time is separate from time to resolution.
Architecture & operational readinessReliability starts with
Reliability starts with
knowing your platform.
Start with an end-to-end assessment and working sessions. Your team gets a shared technical foundation for support, plus a clear view of the improvements to prioritize.
Findings & recommendations
An assessment of workloads, dependencies and configuration, with practical recommendations for your environment.
Reference architecture
A shared view of how the model layer, gateway and observability fit together, so support decisions have context.
Prioritized remediation roadmap
A clear order for addressing architectural gaps and improving support readiness, aligned with your priorities.
An agreed operating relationship
Defined support scope, severity criteria, coverage windows and escalation contacts, with a dedicated Slack or Teams channel.
AI infrastructure expertiseTechnical depth.
Technical depth.
Across the stack.
From GPU inference and agent frameworks to Kubernetes and observability, we help your team operate the full AI stack. Support is shaped around the technologies and workloads in your environment.
Technologies we support
- vLLM
- SGLang
- LangChain
- LangGraph
- Hugging Face
- PyTorch
- Kubernetes
- NVIDIA
- OpenTelemetry
- MLflow
- Prometheus
- Grafana
Model serving
Inference & GPUs
vLLM, SGLang, PyTorch and NVIDIA infrastructure. Guidance on serving configuration, GPU memory, batching and throughput, alongside managed models such as Amazon Bedrock.
Agent systems
Frameworks & gateways
LangChain, LangGraph, Hugging Face and LiteLLM. Support for orchestration, model routing and the integrations that connect agents to your platform.
Platform operations
Deployment & visibility
Kubernetes, MLflow, OpenTelemetry, Prometheus, Grafana and Langfuse. Configuration and troubleshooting across deployments, model lifecycle, traces and service health.
Clear scope. Shared priorities.
Explore LLM Inference OptimizationWe agree the supported technologies, versions and responsibilities during onboarding. Ongoing support covers advisory and configuration guidance. Hands-on implementation and larger delivery projects are scoped separately, with agreed deliverables and ownership.
Working togetherA few practical
A few practical
questions.
Build your next stage
on a stronger foundation.
Let’s review your AI platform, operational priorities and coverage needs. We’ll shape the right support relationship together.
Talk to our team