Services

Six practices. One question.

What should be different when we’re done? Every service below is a way of answering that. Each one starts in plain English, then gets into the details.

Fig. 01 A graphics card. The engine behind modern AI.

AI & intelligent agents

In plain EnglishSoftware that can read, reason, and take the next step, with a person still holding the keys.

What we build

  • Assistants and copilots grounded in your own documents
  • Agent workflows that finish multi-step tasks end to end
  • Evaluation suites and guardrails, so quality is measured rather than assumed
  • Model selection and cost tuning across providers

Outcomes we aim for

  • Hours of repetitive work handed back to your team
  • Answers in seconds instead of a ticket queue
  • LLMs
  • Agents
  • RAG
  • Evals
  • MCP
Fig. 02 A server rack. The cloud, in person.

Cloud & platform engineering

In plain EnglishThe plumbing. When it is done right nobody thinks about it. Things are simply fast, and they stay up.

What we build

  • Cloud-native architecture and migrations
  • Infrastructure as code, so environments rebuild in minutes
  • Edge and serverless platforms that scale down to zero
  • Cost reviews that find what you pay for and never use

Outcomes we aim for

  • Releases that go out on a Tuesday afternoon without drama
  • A cloud bill you can explain line by line
  • Kubernetes
  • Serverless
  • Edge
  • IaC
  • FinOps
$ ship --outcome ✓ measured
Fig. 03 A laptop. Where every product starts.

Product & software development

In plain EnglishThe custom thing nobody sells off the shelf, designed, built, and shipped with care.

What we build

  • Web applications and internal tools
  • APIs and services other systems can rely on
  • Design systems and interfaces people enjoy using
  • Modernizing legacy applications without a big-bang rewrite

Outcomes we aim for

  • A working product in front of users early
  • Software your own team can maintain after we leave
  • TypeScript
  • Python
  • APIs
  • Design systems
  • CI/CD
Fig. 04 A network plug. Two systems, about to talk.

Data & integration

In plain EnglishGetting your systems to talk to each other, and getting useful answers out the other side.

What we build

  • Pipelines that move data reliably between systems
  • Integrations and workflow automation
  • Search that finds things by meaning, not only by keyword
  • Clean, documented data models people can trust

Outcomes we aim for

  • One version of the truth instead of five spreadsheets
  • Reports that build themselves
  • Pipelines
  • Event streaming
  • Vector search
  • Automation
  • APIs
Fig. 05 A security key. Phishing-resistant sign-in, pocket sized.

Security & zero trust

In plain EnglishMaking sure the right people get in, everyone else stays out, and you can prove both.

What we build

  • Zero-trust architecture and identity design
  • Passkeys and phishing-resistant sign-in
  • Security built into delivery pipelines, not bolted on afterwards
  • Compliance-aware architecture for regulated and public-sector work

Outcomes we aim for

  • Fewer passwords and fewer ways in
  • Audits that feel like a formality, not a fire drill
  • Zero trust
  • Identity
  • Passkeys
  • DevSecOps
  • Compliance
VERO INTELLO LICENSES $$$ SUPPORT $$ TRAINING INCLUDED ONBOARDING INCLUDED TOTAL AS AGREED
Fig. 06 A receipt. What the technology actually cost.

Technology strategy & acquisition

In plain EnglishBuying technology well: the right tool, the right contract, the right price, and vendors who deliver what they promised.

What we build

  • Technology roadmaps tied to business goals
  • Vendor evaluation and selection
  • Contract and licensing negotiation
  • Onboarding and enablement, so the tools you buy get used

Outcomes we aim for

  • Contracts that include what you actually need
  • A portfolio with fewer tools doing more
  • Roadmaps
  • Vendor selection
  • Licensing
  • Enablement
  • Portfolio review

Next step

Tell us the outcome. We’ll work backwards from there.