OpsvoTech
Now booking pilots for Q3 — agentic ops, IaC, & SRE

Engineering
intelligence for software that ships.

We design, build, and run secure, scalable products across cloud, data, AI, DevOps, security, and CX — so your teams move faster with confidence, not chaos.

Trusted for regulated environments · multi-brand rollouts · 24×7 ops

opsvo · alert remediation
alert · highlatency
P1

payments-api · p99 4.2s · err 6.1%

3 instances affected · downstream lag rising

slo restored in 14sagent · slo-aware · audit-logged
15
Engineers
24×7
SRE coverage
<5m
MTTR target
SOC 2
Aligned
Why Opsvo

Product mindset.
Platform muscle.

We're a small team of staff-level engineers who've operated platforms in regulated, high-stakes environments. Six things we never compromise on.

  • Product & Platform

    Features your users love and the paved roads to ship them safely.

  • Compliance by Design

    Identity, encryption, logging, evidence — baked in, not bolted on.

  • Automation First

    IaC, GitOps, golden modules. Toil and drift, gracefully retired.

  • Visibility Everywhere

    SLOs, dashboards, alerts, ownership. Across app and infrastructure.

  • Agentic AI (Safe)

    Copilots that validate → decide → act. Approvals and audit trails included.

  • Enablement

    We teach what we build. Momentum stays with your teams when we leave.

What we do

End-to-end services,
extra strength in DevOps.

Six pillars. One delivery rhythm. Every engagement starts with a discover-prove-ship loop tuned to your reliability, cost, or compliance goal.

PE

Product Engineering

Greenfield builds, modernization, API platforms, microservices, performance engineering.

  • Release health & DORA metrics
  • API-first design
  • Serverless & containers, mobile/web
See details
PF

Cloud & Platform

Landing zones, multi-account governance, network & identity, FinOps, DR.

  • Platform blueprints
  • Golden modules
  • Cost guardrails & FinOps
See details
DA

Data & AI / ML

Pipelines & lakes, quality & lineage, real-time analytics, MLOps, RAG/LLM apps.

  • Safety & guardrails
  • Privacy-aware patterns
  • Evaluation harnesses
See details
DV

DevOps & SRE (24×7)

SLIs/SLOs, incident response, capacity & reliability, change & release health.

  • Chaos drills
  • Error budgets
  • On-call & golden runbooks
See details
SE

Security & GRC

Zero-trust patterns, secrets & KMS, policy-as-code, evidence pipelines.

  • SOC 2 / ISO 27001 alignment
  • PCI-style controls (scope-specific)
  • Continuous evidence
See details
QA

QA & Test Automation

Shift-left testing, API & contract tests, E2E suites, synthetic checks.

  • Performance & resilience
  • Accessibility baselines
  • Synthetic monitoring
See details
AI-native ops

Agents that operate,
not just chat.

We embed LLMs and MCP-driven agents into the parts of your delivery pipeline where humans burn cycles — alerting, IaC review, incident response, runbook execution.

01Alert remediation

From alert to applied fix without paging a human first.

An LLM classifier triages every alert in real time, matches it to a runbook, opens the ticket, and proposes a pre-approved remediation. On-call wakes for what actually matters.

Built and operating internally on the Opsvo Alert Remediation Platform.

alert · HighLatency
14:32:08 UTC
  • p99 latency 1.4s → 4.2s · 3 instances
  • error_rate 0.3% → 6.1%
  • downstream: kafka-orders lag 12k+
ai triage
confidence 0.94
P1payments-apirunbook RB-014
proposed remediation
pre-approved
-   desired_count = 6+   desired_count = 12  # est. cost +$31/day
on-call notified · ticket OPS-1284
02MCP toolkits

Your platform, exposed as agent-ready tools.

We build MCP servers that surface your clouds, runbooks, dashboards, and tickets as scoped, auditable tools any agent — Claude, Cursor, Copilot, your own — can call. Permission-tight, revocable, fully logged.

Pattern: golden-path MCP toolkits per service-catalogue tier.

opsvo.mcp · platform-toolkit
6 tools
aws_iam_auditread

Find over-permissive policies; suggest least-privilege diffs

terraform_plan_reviewread

Cost, security, and drift analysis on a plan output

runbook_execute_stepwrite

Run a pre-approved runbook step with audit trail

sentry_get_issue_contextread

Fetch stack, breadcrumbs, recent releases for an issue

pagerduty_create_incidentwrite

Open an incident with SLO-aware severity routing

datadog_query_metricsread

Run a metrics query and stream the result back to the agent

scoped · revocable · audit-loggedclaude · cursor · copilot
03AI PR review

Every pull request gets a security, cost, and drift review before a human reads it.

OpsBot reviews Terraform plans and application diffs for over-permissive policies, cost regressions, and drift against declared state — with inline comments and severity tags.

Pairs with policy-as-code (OPA, Checkov) — agent commentary, not agent decisions.

#1284 · iam-tighten-s3
open
terraform/iam.tf
    resource "aws_iam_policy" "s3_admin" {      name   = "s3-admin-prod"      policy = jsonencode({-       Action   = "s3:*"+       Action   = ["s3:GetObject", "s3:PutObject"]        Resource = "*"      })    }
opsbotsecurity · medium

Action narrowed to read/write only — good. Resource is still "*"; consider scoping to the bucket ARN to satisfy SOC 2 CC6.1.

cost: -$0/modrift: nonereviewed in 3.2s
04Agent runbooks

Runbooks become executable. Approval gates stay human.

The agent walks the steps, executes pre-approved remediations, requests approval at risk gates, and writes the post-incident report. SLO-aware end-to-end, with a complete audit trail.

Aligned to your error budgets — no surprises, no shadow ops.

RB-pay-014 · payments-api latency
agent driven
  1. identify affected hosts
    auto · 0.4s · 3 instances
  2. scale payments-api 6 → 12
    executed · 14s · ECS service updated
  3. verify p99 < 200ms over 60s window
    running · 38s elapsed
  4. drain & recycle hosts ip-10-0-2-{14,17,21}
    needs approval · risk: medium
  5. post-incident report draft
    queued · drafts to ops-incidents
agent online · slo: p99 200ms
5 steps · 2 done · 1 running
AI we run in production
Anthropic Claude·OpenAI·LangChain·LlamaIndex·RAG pipelines·Vector DBs·Agent frameworks·MCP·Evaluation harnesses·Safety guardrails
How we work

A simple, proven
1 — 2 — 3 to value.

We don't do six-month strategy decks. We compress discovery, validate fast, and ship a thin vertical slice that proves the KPI you care about.

01~1 week

Discover

Goals, risks, compliance scope, success metrics — synthesized with the people who will own it. We compress strategy into a prioritized roadmap with measurable KPIs, so kickoff has direction, not vibes.

› output: signed roadmap with KPI-anchored bets

discovery brief
day 4 / 5
  • Goal
    p99 < 200ms across checkout
  • Risk
    encryption-at-rest gap on 2 svcs
  • Metric
    deploys / week, MTTR, p99
  • Scope
    SOC 2 type II, in-flight audit
Roadmap synthesized

12 KPI-anchored bets · 3-quarter sequence · ready for kickoff.

kickoff: stakeholders · architects · opsoutput: signed roadmap
022–3 weeks

Prove

Architecture and a thin vertical slice in prod-like conditions, behind a feature flag. We validate the pattern early on the metrics that actually matter — latency, cost, reliability — before any team commits to scale.

› output: validated pattern + live signal

thin vertical slice
prod-like env
UI
checkout · React
API
orders-svc
Data
postgres · kafka
backlogvertical slicebacklog
live signal · 24h prod-shadow
  • p99 latency178 ms< 200 ms
  • error rate0.04 %< 0.1 %
  • cost / 10k req$0.62< $1.00
2–3 weeks · single team · feature-flaggedoutput: validated pattern
03Ongoing

Ship & Run

Automate the paved road, harden the edges, and instrument everything. Your team owns it, or our SRE pod runs it 24×7 with monthly health reports and error-budget reviews — your choice.

› output: paved road · 24×7 SRE optional

paved-road telemetry
on-call · pod-ext-1
deploys / day
12
MTTR
4m 12s
incidents 7d
0 / 0
error budgets · 28d
checkout · availability32% used · target 99.95
orders-api · p9941% used · target 200ms
search · error rate18% used · target 0.1%
weekly health report · sentmon 09:00 UTC

on-call rotation handed back · zero customer-impacting incidents.

monthly · error-budget reviews · 24×7 coverageoutput: paved road
Multi-brand setup

One platform.
Many brands.

Whether you're carving out a new brand inside a parent org or consolidating six acquisitions, the pattern is the same: shared paved roads, isolated brand spaces, audits that pass on the first try.

  • Shared core: identity, network, security, observability, CI/CD, cost
  • Brand spaces: isolated accounts/projects, policies, pipelines, budgets
  • Golden baselines: consistent modules and tags, clear carve-outs per brand
  • Outcome: faster launches, lower risk, audits that don't ruin your week

Platform Blueprint

Four layers, every brand.

  1. L1

    Identity & Access

    SSO/SAML · least privilege

  2. L2

    Network & Segmentation

    Private endpoints · zero-trust

  3. L3

    Observability

    Logs · metrics · traces · SLOs

  4. L4

    CI/CD & Policy-as-Code

    Checks in pipelines

Compliance by design

Controls that scale.
Auditors that smile.

Six control families, baked into the platform from day one — so evidence collection becomes a query, not a quarter.

  • Identity & Access

    SSO/SAML, least privilege, short-lived credentials.

  • Crypto & Data

    KMS/HSM, envelope encryption, rotation, secrets hygiene.

  • Network

    Private endpoints, egress control, segmentation, zero-trust.

  • Logging & Evidence

    Immutable trails, retention & query mapped to control IDs.

  • Policy-as-Code

    Automated checks in CI/CD, drift detection & remediation.

  • Reporting

    Clear mappings to SOC 2 / ISO 27001 / PCI-style frameworks.

Engineering snapshots

What we've shipped.
NDA-friendly highlights.

Real outcomes from real teams — anonymized just enough to satisfy legal, detailed enough to actually be useful.

Platform

Multi-account landing zone

Multi-account guardrails, audit-ready trails, brand-aware tagging. Onboarding new product? 2 days, not 2 sprints.

12 → 36 accounts
Onboarded in Q1
Resilience

Snapshot restore-validate-cleanup

Automated restore validation with dashboards and chat-ops. We test what every other team only documents.

99.97%
Validated restores
Data

NiFi/Kafka pipelines, SLO-backed

Real-time pipelines with explicit error budgets. P99 latency went from 'unknowable' to 'on a dashboard'.

<200ms
P99 end-to-end
Observability

Service-level uplift

Logs/metrics/traces unified. Business KPIs pinned to golden SLOs per service. On-call learned to sleep again.

−42%
MTTR reduction
FinOps

Cost & performance guardrails

Automated checks and alerts. The kind of dashboards your CFO actually opens.

−28%
Cloud spend
DX

Paved roads & golden modules

Templates, golden modules, self-service onboarding. New service production-ready before lunch.

<4h
Service-zero-to-prod
Industries we serve

Where reliability,
security & speed
aren't optional.

  • Financial Services & Fintech
  • Retail & E-commerce
  • Healthcare & Life Sciences
  • Media & Telecom
  • SaaS & ISVs
  • Public Sector
FAQs

Short, straight
answers.

Got a question we missed? The contact form is right below — and a real engineer reads every message.

Nope. Opsvo Tech covers product engineering, platforms, data & AI, security, QA, and DevOps/SRE. DevOps is one strong pillar — not the whole house. We staff cross-functional pods, not single-skill resources.

Let’s talk

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