Agentic AI and platform engineering

Autonomous by default.

Black Raven builds AI agents that run real operations. Sales, support, security, licensing, finance. We run them against our own book of business every day before we ever put them in front of yours. What you see below is not a roadmap. It is what the fleet did.

Luna 00:00.00
AI generated Standing by

Hi, I am Luna.

Book a human

Luna is an AI. Her face and voice are computer generated and do not belong to a real person.

Agents in production 13 Endpoints under contract 498 Security alerts triaged 577 Incidents worked 307 Tickets resolved 1,521 Service level breaches 0 Organizations under management 13 Median first response 31 min

What we sell

Four things, and they all run on each other.

The agents need a system of record, so we built one. The security pipeline needs an estate to watch, so we manage one. Nothing here is a slide. Every pillar is carrying live production load right now.

01

Raven CRM

The full commercial cycle in one record: prospect, opportunity, proposal, signature, invoice. Agents work inside the record instead of bolted on beside it.

  • Proposal and contract generation
  • Electronic signature and countersign
  • Billing and accounting sync
  • AI email, SMS and voice on the same record

Selling now, per seat plus build

02

AI Agents

Named agents that own a function end to end rather than answering questions about it. They read, decide, draft, and hand off to a human at the point where a human is actually required.

  • Sales, quoting and renewals
  • Support triage and onboarding
  • Licensing reconciliation and finance
  • Meeting capture and follow through

13 in production against our own operations

03

Agentic SOC

Detection, triage and incident work handled autonomously around the clock. Containment is armed and sits behind written client authorization, so an agent never pulls a device off the network on its own initiative.

  • Autonomous alert triage and verdicts
  • Incident correlation and escalation
  • Consent gated endpoint containment
  • Full audit trail on every action

Live, 577 alerts triaged

04

Managed Technology

The estate the agents run on. Endpoints, identity, security stack, cloud, continuity. Not the headline any more, but it is the reason the rest of it has real data to work with.

  • Endpoint management and detection
  • Identity and cloud administration
  • Backup, continuity and recovery
  • Technology strategy and roadmap

498 endpoints across 13 organizations

Autonomous security operations

The analyst that never gets to hour nine of a shift.

Alert fatigue is not a discipline problem. It is a volume problem, and volume is the one thing software is good at. Our security agent works every alert the same way at 3am as it does at 10am: pull the context, reach a verdict, correlate it against everything else in flight, and escalate what a person actually needs to see.

Containment is the part everyone gets wrong. An agent that can quarantine a device on a hunch is a liability, not a feature. Ours is armed and audited, and it will not fire until a client has authorized that action in writing for their own environment. Until then it recommends and a human pulls the trigger.

PipelineAutonomous path
Auto

Alert ingested and enriched. Asset, user, prior history and blast radius attached before a verdict is attempted.

Auto

Verdict reached. 577 alerts triaged to date. False positives are closed with a reason, not silently dropped.

Auto

Correlated into an incident. 307 incidents worked, each carrying the observables that built it.

Gated

Containment recommended. Blocked from firing unless that client has signed authorization on file for autonomous isolation.

Human

An engineer approves, declines, or takes it over. Every decision is written to an immutable audit trail either way.

0
Service level breaches

Across 1,480 tickets with a tracked response and resolution target. Not a target we publish. A count we measured.

498
Endpoints under contract

Across 13 organizations, from four seat operators to a 101 endpoint manufacturer on a three year term.

577
Alerts triaged autonomously

Correlated into 307 worked incidents. No human opened the first one of them.

13
Agents in production

Each owns a function outright. They run our sales, support, security, licensing and finance every day.

Active work

Real engagements. Names withheld, numbers not.

Every figure below comes out of a signed contract or a live proposal in our own CRM. We do not publish client names, because being someone's technology partner is not the same as having permission to use their logo.

4workstreams

Specialty chemical manufacturer

Fifty endpoints under management with extended detection, email security and continuity. On top of that: an assessment of the legacy platform running the business, a customer facing order portal, a CRM rollout, and a website rebuild. One client buying from all four pillars at once.

ManagedAgentic SOC Raven CRMEngineering
101endpoints

Regional manufacturer, three year term

Full estate on managed services with eighty productivity seats, assistant licensing for the leadership group, email security and awareness training across every user. The longest commitment on our book.

ManagedLicensing
15seats

Services firm buying the agent stack

Raven CRM with AI email, SMS and both inbound and outbound voice on the same records, provisioned with a monthly allowance of thousands of agent actions. Twelve month initial term, currently in proposal.

Raven CRMAI Agents
397seats

Medical device firm, licensing transfer

Enterprise productivity estate moving to us as licensing partner, including voice and assistant licensing across the organization. Scoped, priced and right sized rather than renewed as found.

ManagedLicensing
12servers

Industrial operator, continuity and detection

Sixty eight seats with extended detection coverage across the same number of addresses, twelve servers under managed continuity, and licensed backup for the virtual estate behind them.

Agentic SOCManaged
4.7million rows

Legacy platform archaeology

A business running on a platform nobody could safely change. We took the assessment first: 2.31 GB of it turned out to be event logging, the actual business data was roughly four gigabytes, and the real risk was two generations of schema naming nobody had documented. Findings before quotes.

Engineering

How we work

We are our own first customer.

Every agent we sell has been running our own company first. Our sales pipeline, our support queue, our security alerts, our vendor reconciliation, our meeting notes. If an agent is not good enough to be trusted with our own billing, it is not going anywhere near yours.

That is also why the numbers on this page are small and specific instead of large and round. They are measurements, taken out of the same databases the agents write to. We would rather show you a real 498 than a fictional five thousand.

EngagementWhat it looks like
Scope

We watch the work you actually do, and find the parts that are repetitive, high volume and reversible. Those go first.

Build

One agent, one function, running alongside your team with every action logged and nothing sent without review.

Loosen

Where the audit trail earns it, the review gate comes off one step at a time. Where it does not, it stays on. Your call, not ours.

Human

People stop doing the part software is better at and start doing the part it is not. That is the whole point.

Start somewhere real

Bring us the process you hate.

Not a strategy deck. Bring the thing your team does forty times a week that nobody wants to own. We will tell you honestly whether an agent should be doing it, and if the answer is no we will say so.