Your cloud and AI engineering partner

Engineering Intelligent Systems.

We design, build, and integrate secure cloud and AI solutions for production workloads.

Free 30-minute scoping call. Pricing after scoping.

What we integrate

Builds onAWS or Azure
  • CrowdStrike Falcon GuardianAI agent runtime security
  • LangfuseLLM observability & evaluation
  • Amazon BedrockFoundation models
  • AWS IAM & OktaAgent identity & access
  • ServerlessAWS Lambda · Azure Functions
01 / What we do

Four things we build.

Your systems, software and AI should work together, not create more complexity. We connect your technology, put security at the center, and build solutions for real-world operations.

01

Cloud & Enterprise Integration

Design, build and integrate cloud applications, enterprise platforms and data flows, then repair what's broken and automate the workflows that cross them.

  • Build serverless cloud applications and APIs.
  • Connect business platforms and data.
  • Repair and automate cross-system workflows, with logs and alerts.
Cloud & Enterprise Integration →
02

Secure AI Agent Integration & Production Engineering

Integrate AI agents into business workflows with their own identity, least-privilege access, security monitoring, testing and production monitoring.

  • Agent identity and permissions through Okta or AWS IAM.
  • Tool access controls and runtime security with CrowdStrike Falcon Guardian.
  • LLM-as-a-judge evaluation and tracing in Langfuse.
Secure AI Agents →
03

Secure Knowledge Integration

Connect organizational knowledge, documents and data so teams find what they need, with access controls that fit your environment and the source cited on every answer.

  • One search across the repositories you already have.
  • Answers respect who can see what, and cite the source.
  • For engineering, operations, support and proposal teams.
Knowledge Integration →
04

Proposal Intelligence

Analyze solicitation requirements, organize proposal information and draft from your own library with citations, so your team prepares bids faster.

  • Compliance matrix from Sections L, M and the PWS.
  • Drafts from your past performance, every claim cited.
  • Your team reviews and submits. Nothing is automatic.
Proposal Intelligence →
Running AI agents?

Check whether they'd pass a security review in two minutes. Run the AI Flight Recorder →

02 / How we work

Engineers scope it. Build it. Prove it.

The engineers who scope your solution are the ones who build it. When it's ready, you choose: your team runs it, or we do.

How we work
01 / 05Phase
00

Scope

Week 0

A 30-minute call with an engineer on the integration problem. We agree the scope and how we'll measure it.

You get
  • Agreed scope
  • Pricing after the scoping call
  • Agreed success measures
01

Ground

Weeks 1–2

We map your systems, data flows and failure points, and agree the baseline.

You get
  • System and data-flow map
  • Access agreed with your IT team
  • Baseline: errors, manual hours, latency
02

Orchestrate

Weeks 3–5

We build the integrations and workflows around your real process in our development and validation environments, with human or LLM-as-a-judge review wherever AI acts.

You get
  • Integrations built and validated in our dev environment
  • Human or LLM-judge review on every AI step
  • Logging, tracing and alerts wired in
03

Prove

Weeks 6–7

We deploy to your cloud environment and test there with your real data, in UAT / staging, then clear the production bar before go-live.

You get
  • Deployed to your UAT / staging environment
  • Tested on your real data, in your cloud
  • Evaluation report, security evidence pack and go-live decision
04

Run

Retainer only

Retainer engagements only. Ongoing LLMOps: we monitor every agent call and trace in Langfuse, check that responses stay grounded in your sources, and tune prompts, retrieval and models as your data changes. On fixed-scope work, your team runs it from handover.

You get
  • Agent calls and traces monitored in Langfuse, with alerts
  • Grounding and quality checks on live responses
  • Tuning, regression tests and model upgrades
Option 1Build it. Own it. Run it.

Fixed-Scope Integration

We integrate and deliver your solution within your existing environment. Once the agreed deliverables are accepted, your team takes responsibility for day-to-day operation and maintenance.

  • Deployed in your cloud environment using agreed tools and architecture.
  • Handover of source code, infrastructure-as-code, documentation and runbooks.
  • Knowledge transfer so your team can operate and maintain the solution.
  • Defined scope, deliverables and acceptance criteria.

Pricing: A fixed project fee based on the agreed scope of work.

Ongoing support, enhancements and third-party usage costs are scoped separately unless included in the agreement.

Option 2Build it. We operate it.

Ongoing Managed Integration

We integrate your solution across the agreed environments and provide ongoing operational support, monitoring and maintenance under a defined service agreement.

  • Runs in your cloud environment, as agreed.
  • Monitoring and security tooling based on the solution's architecture and requirements.
  • Ongoing maintenance, troubleshooting and agreed upgrades.
  • Defined service coverage, response targets and escalation procedures.

Pricing: A recurring monthly management fee.

Monitoring and security tooling we operate is included or itemized, as agreed. Cloud usage is billed to you directly by your cloud provider.

Pricing after scoping call.

Go-live gate

Grounded · Evaluated · Least privilege · Reviewed · Security-reviewed · Observable · Handed over

How we work →
03 / Systems we connect

Keep your stack. Fix the handoffs.

Serverless integrations and MCP servers, so your agents and AI tools can read and act on the systems your team already uses, with permissions and logs.

Confluence
Team knowledge and docs
SharePoint
Document libraries
Microsoft Teams / Slack
Team chat and channels
MCP-enabled tools
Anything with a Model Context Protocol server
Something else?
Name it. If it has an API, we'll look at building an MCP server for it.

We integrate with these tools. We are not affiliated with or endorsed by their vendors.

04 / Questions

The details matter.

Straight answers for your program lead, your executive sponsor and your security reviewers.

Do we have to replace our current tools?

No. We connect and repair what you already run, where the APIs, your licences and your security policies allow. We check those constraints during scoping, not after.

Where does the system run?

In your cloud account (AWS or Azure) for fixed-scope work. For managed engagements, across your environment and ours, as the work requires.

Can we use CUI or sensitive material?

Only after your IT and security team approves data handling, model use and access for the scoped system. Running in your own cloud is not, by itself, a compliance certification.

How is an engagement priced?

The 30-minute scoping call is free. We agree the scope on the call and send pricing after: a fixed price for fixed-scope work, or a monthly fee for managed integration.

Have an integration problem?

30 minutes with an engineer, no slides. We agree the scope on the call and send pricing after.