[00]// SphereOps · ai.sphereops.org

AI agents that run operations, not demos.

A global remote AI engineering team building custom agents, automations and retrieval systems for companies across the US, EU and the Middle East — shipped to production on US-friendly hours.

live.system.status↗ ai.sphereops.org
$ tail -f ops.log
agent.triage.v2 — 1,284 tickets routed today 

Trusted by teams shipping in production

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// SERVICES  ·  [01]

Four ways we put AI to work.

Scoped engagements with clear deliverables. No retainers that bill for slideware.

// AGENTS

Custom AI Agents

Autonomous agents that take real actions across your tools — not chat widgets. We build, test, and deploy agents that triage, route, draft, and execute, with human checkpoints where they matter.

  • Scoped agent architecture
  • Tool / API integrations
  • Guardrails & logging
  • Deployment + handoff docs
// AUTOMATION

Workflow Automation

We map the manual work eating your team's hours and rebuild it as reliable automated pipelines. From data entry to multi-step approvals, the boring work runs itself.

  • Process audit
  • Automation build
  • Error handling & alerts
  • Monitoring dashboard
// RETRIEVAL

RAG & Knowledge Systems

Turn your docs, tickets, and internal knowledge into a system your team and your AI can actually query. Accurate answers grounded in your data, with sources.

  • Data pipeline
  • Vector store setup
  • Retrieval tuning
  • Evaluated accuracy benchmarks
// STRATEGY

AI Strategy & Audits

Not sure where AI fits? We assess your operations, find the highest-leverage use cases, and give you a build roadmap — honest about what's worth doing and what isn't.

  • Ops assessment
  • Prioritized use-case map
  • ROI estimates
  • Implementation roadmap
// VOICE

AI Voice Agents

Natural-sounding voice agents that handle inbound and outbound calls — booking, qualification, support triage, follow-ups. Connected to your CRM and calendar, with full transcripts and handoff to humans when it matters.

  • Telephony + SIP integration
  • Real-time speech pipeline
  • CRM / calendar handoff
  • Call transcripts & analytics

// IN ACTION  ·  [02]

Watch our agents handle real workflows.

Not a marketing reel — a captured session of an agent triaging support tickets, querying internal systems, and posting structured updates back to the team.

120s
avg. session
14
tools used
agent.session — 00:42
demo · 1080p

// HOW WE WORK  ·  [03]

A five-step path from problem to production.

Typical engagement: 4–10 weeks to first shipped agent.

  1. [01]

    Discover

    Two weeks. We sit with the team that owns the workflow, instrument the current process, and write down what's actually broken vs. what's just annoying.

  2. [02]

    Architect

    Models, infra, eval plan, security boundary, fallback paths. Written up as a short doc your engineering team can red-team.

  3. [03]

    Build

    Tight sprints, working software at the end of every week. You see the agent run on real data before we get near production.

  4. [04]

    Deploy

    Shipped behind feature flags into your cloud or ours. Observability, cost dashboards and rollback ready on day one.

  5. [05]

    Maintain

    Optional. Monthly evals, model upgrades, drift monitoring. We hand off cleanly if you'd rather own it in-house.

// RESULTS  ·  [04]

Numbers from systems running today.

Averaged across recent engagements. We'll share the full methodology on a call.

M/01
0%

Reduction in manual ticket triage time after deploying a routing agent.

Support team · B2B SaaS

M/02
0.0×

Faster turnaround on document processing once the workflow was automated end-to-end.

Operations · document pipeline

M/03
24/7

Always-on agent coverage replacing a fragile manual handoff between time zones.

Global ops · 3 regions

M/04
0%

Answer accuracy on an internal knowledge assistant after retrieval tuning and evals.

Internal RAG · enterprise KB

// ABOUT  ·  [05]

An engineering firm — that happens to build with AI.

SphereOps is a global remote team of engineers who have shipped infrastructure, data and ML systems for production workloads — long before "AI agent" was a category on Twitter.

We work in tight pods, write our own evals, own our deploys, and treat model choice as a budgeting decision, not an aesthetic one. Clients across the US, EU and Middle East — all delivery on US-friendly hours.

3
continents
24/5
US-hours coverage
100%
remote · async-first

// CONTACT  ·  [06]

Let's build something that ships.

Tell us about the workflow you want automated, or the agent you want built. We respond within one business day, US-hours.

Region
Global remote · US-friendly hours

Replies within 1 business day.

☏ Call nowGet quote →