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services

Eight kinds of system. One standard for all of them.

The approach is technology agnostic. Rather than forcing a project into a preferred language, framework, or cloud, Null Vertex selects the tools that fit the business and technical requirements of the problem in front of it.

01

SaaS Platforms

Multi-tenant products with the billing, permissions, and onboarding that turn a working application into a business.

Beyond the happy path

Tenancy is easy to add and brutal to retrofit. Null Vertex settles the isolation model, the permission boundary, and the billing lifecycle before the first customer signs up — not after the second one asks why they can see someone else's data.

What that includes

  • Tenant isolation and data partitioning
  • Roles, permissions, and audit trails
  • Subscription billing and usage metering
  • Onboarding, invitations, and account lifecycle
  • Admin tooling your team can actually operate
02

Full Stack Web Applications

End-to-end products where the interface, the API, and the data model are designed as one system instead of three.

Beyond the happy path

Most stacks break at the seams: optimistic UI that lies, forms that lose work on a flaky connection, caches that serve yesterday's answer. The boundary between client and server is the primary design surface here, because that is where users actually feel the failures.

What that includes

  • Interface and interaction design through to implementation
  • API and data model designed together
  • Real form and state handling on unreliable networks
  • Accessibility and responsive behaviour as requirements
  • Test coverage that survives refactors
03

AI-Powered Products & Chatbots

LLM-backed features with retrieval, tool use, and evaluation — built as products, not prompt demos.

Beyond the happy path

A prompt that works in a notebook is not a feature. Production AI needs cost ceilings, latency budgets, graceful degradation when the model is down or wrong, and an evaluation harness that tells you whether last week's prompt change made things worse.

What that includes

  • Retrieval pipelines and context construction
  • Tool and function calling with real guardrails
  • Evaluation harnesses and regression suites
  • Token cost controls, caching, and fallback models
  • Streaming interfaces that stay responsive under load
04

Real-Time Dashboards & Operational Systems

Live operational views where the data on screen is trustworthy and stays that way under pressure.

Beyond the happy path

Real time is not a websocket. It is what happens when a client reconnects after ten minutes offline, when one operator's filter fans out to a thousand subscribers, and when the update rate exceeds what a human can read. Those are the problems that decide whether the dashboard gets used.

What that includes

  • Push-based updates with reconnect and replay
  • Presence, subscriptions, and fan-out that scales
  • Backpressure and update coalescing
  • Alerting and threshold logic operators trust
  • Historical replay alongside the live view
05

Geospatial & Fleet Management

Location-aware platforms: tracking, routing, geofencing, and spatial analysis over live and historical data.

Beyond the happy path

GPS lies. Devices go dark in tunnels, report out of order, drift while parked, and occasionally place a vehicle in the ocean. A fleet platform is mostly the logic that decides which readings to believe — and how to keep spatial queries fast once history stops fitting in memory.

What that includes

  • Ingest pipelines for high-frequency telemetry
  • PostGIS schema and spatial index design
  • Geofencing, routing, and trip reconstruction
  • Noise filtering and out-of-order event handling
  • Map interfaces that stay smooth at scale
06

High-Throughput Backend Services

Services built for sustained volume, with the queueing, concurrency, and failure semantics stated up front.

Beyond the happy path

Throughput is not a benchmark number. It is the behaviour at the edge of capacity: whether the service degrades or collapses, whether the queue is bounded, whether a slow dependency takes everything down with it. These services are designed from the overload case first, because that is the case that pages you.

What that includes

  • Concurrency models and bounded work queues
  • Backpressure, load shedding, and circuit breaking
  • Idempotency and exactly-once-in-effect semantics
  • Batching, pooling, and hot-path profiling
  • Load testing against realistic traffic shapes
07

Cloud-Native Infrastructure

Reproducible infrastructure with deployment, observability, and recovery treated as part of the product.

Beyond the happy path

Infrastructure only matters on the bad day. Can you deploy on a Friday? Can you roll back in under a minute? Do you know a dependency is failing before your customers tell you? Can you actually restore from that backup? Null Vertex builds so the answer is yes before you need it to be.

What that includes

  • Infrastructure as code and reproducible environments
  • CI/CD with safe, reversible deploys
  • Metrics, structured logs, and distributed tracing
  • Autoscaling and cost control
  • Backup, restore, and disaster recovery you have tested
08

Consulting & Technical Advisory

Senior judgement on the decisions that are expensive to reverse — architecture, technology selection, and technical direction.

Beyond the happy path

Advice is cheap when nobody has to live with it. The decisions actually worth paying for are the ones that cannot be undone cheaply — the datastore, the tenancy model, the boundary between services — and they get made early, usually with incomplete information. Consulting here means committing to a recommendation and stating plainly what would have to be true for it to be wrong.

What that includes

  • Architecture and system design review
  • Technology and vendor selection, with the trade-offs written down
  • Technical due diligence for investment or acquisition
  • Code review, standards, and mentoring for your engineers
  • Roadmap and delivery planning against real constraints
  • Internal and operational tooling strategy

ways to work together

Engagements sized to the problem.

From a first version through to continuous senior capacity. If none of these quite fits, say so — the shape is negotiable, the standard is not.

MVP or v1

4–12 weeks

Concept to something real users can use. Scoped hard around the assumption you most need to test, and built so the version that follows it is not a rewrite.

You have a validated idea and need it in front of users.

Production system

3–9 months

The full build: architecture, implementation, infrastructure, and deployment. Designed for the load, the compliance requirements, and the team that will operate it.

You know what you need and it has to hold up under real use.

AI integration

4–12 weeks

Retrieval, assistants, and model-backed features added to a product that already works — with the evaluation harness, cost ceilings, and fallback behaviour that keep them dependable once real users arrive.

You have a product and a use case, not a research project.

System audit

1–4 weeks

A comprehensive review of an existing system across maintainability, scalability, security, and performance — with reports for every level from engineer to board, and a remediation plan you can act on.

Something is wrong, or diligence is coming, and you need the truth.

Infrastructure modernisation

1–4 months

Bringing an existing system up to standard: deployment, observability, test coverage, and the operational basics — incrementally, without a freeze on feature work.

It works, but releasing is frightening and nobody sleeps well.

Long-term engineering partner

Ongoing

Continuous senior engineering capacity: feature work, architectural direction, code review, and technical leadership for a team that does not have it in-house.

You need senior judgement available continuously, not once.

Which of these is your problem?

Describe what you are building or what has stopped behaving, and you will get an honest answer about whether Null Vertex is the right fit for it.

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