01
AI strategy & consulting
Turn a broad AI ambition into a practical roadmap, investment case and governance model grounded in your operating reality.
Readiness · Roadmaps · Governance Senior technology delivery
The right senior team. Built around your challenge.
Novaconix brings together experienced product, software, data and AI specialists for complex work. We use AI where it creates real leverage and human judgement wherever quality, security and accountability matter.
- Senior-led from day one
- AI applied selectively
- One accountable team
CUSTOM TEAM ARCHITECTURESHAPED PER ENGAGEMENT
NOVACONIX CORESenior delivery leadership
ProductArchitectureDelivery
Enterprise AIApplied specialists
SoftwareSenior engineers
Cloud & dataPlatform depth
EXTENDED WHEN NEEDEDDvash + vetted partner network
One integrated teamOne line of accountability
Technology delivery shaped around the problem, not a fixed bench
Enterprise AISoftware engineeringCloud & dataDesign & qualityModernisation
01 / Capabilities
Deep expertise across AI and software engineering.
Two connected capability groups, assembled into one delivery team. Every service is adapted to the business context, system constraints and level of ownership you need.
02
AI integration
Connect AI to the systems and workflows that matter, with validation, auditability and human fallback designed in.
ERP & CRM · APIs · Human-in-the-loop03
Agentic systems engineering
Design dependable agent workflows with the orchestration, guardrails, evaluation and observability required for production.
RAG · Tooling · Evaluation04
Generative AI & advanced ML
Build applied machine-learning and generative-AI products around a clear business problem, not a model demo.
GenAI · Predictive ML · NLP05
Computer vision & document intelligence
Extract, structure and validate information from images, drawings and complex documents at operational scale.
OCR · Vision · Document pipelines06
LLM engineering
Create domain-aware assistants and language solutions with the right model, retrieval, tuning and deployment approach.
Private LLMs · Fine-tuning · Voice07
Managed AI & process redesign
Operate, monitor and improve AI in production while redesigning the surrounding process for measurable performance.
Monitoring · Drift · Optimisation08
AI automation for regulated work
Automate document-heavy and decision-support workflows with traceability, controls and compliance in mind.
KYC · Claims · Audit trails09
Data science & engineering
Build the data foundations, pipelines and analytical products that make reporting, ML and better decisions possible.
ETL · Warehousing · BI & analytics01
Custom software engineering
Design and build web, cloud and API products around your business rules, integrations and long-term operating needs.
Front-end · Back-end · Full-stack02
Cloud & platform engineering
Create secure, observable delivery platforms and infrastructure that support reliable change at scale.
DevOps · DevSecOps · MLOps · FinOps03
Legacy modernisation
Move critical systems forward in controlled increments without a risky big-bang rewrite.
Cloud-native · Microservices · AI-ready04
UX/UI product design
Clarify product flows, prototype quickly and create interfaces that make complex systems easier to use.
Research · Prototyping · Design systems05
Quality engineering & AI testing
Make quality continuous across functional, automated, performance, security and AI-specific testing.
AQA · Performance · Security06
AI-assisted engineering
Use AI to accelerate suitable development work, with senior review across architecture, code, security and testing.
Faster execution · Senior oversight07
MVPs & rapid prototyping
Move from ambiguity to a testable product quickly, without confusing prototype speed with production readiness.
Discovery · Prototype · Production path02 / Human + AI
AI is leverage. Not autopilot.
We do not hand the work to agents and hope for the best. Senior people decide where AI belongs, supervise how it is used and remain accountable for what reaches production.
“Use automation where it is dependable. Keep experienced judgement where the consequences are real.”
That principle governs every Novaconix engagement, from the first architecture decision to release approval.
01Strategy & architecture
Senior judgement leads
AI supports analysis02Engineering execution
AI-assisted where useful
Peer review required03Security & quality
Human-owned gates
Automated evidence04Production operations
Observable systems
Named human ownersSelective by design
AI is chosen task by task, based on value, reliability and risk.
Senior oversight
Architecture, code and delivery decisions stay with experienced practitioners.
Traceable quality
Reviews, testing and release controls make the work understandable and auditable.
Business-first
The measure is a better outcome, not the amount of AI used.
03 / Where we fit
Complex work with real operational weight.
We are most useful when the product matters, the system has constraints and the team needs experienced people who can make decisions, not simply complete tickets.
Regulated workflows
AI-assisted operations where traceability, human review and clear controls are non-negotiable.
Document-heavy operations
Intelligent processing for contracts, claims, technical records, drawings and fragmented archives.
Legacy systems
Incremental modernisation of business-critical platforms that cannot simply be switched off and rebuilt.
Data products
Pipelines, analytical platforms and ML solutions that turn inconsistent data into usable decisions.
Digital products
New customer and internal products built by compact teams across product, design and engineering.
Cloud platforms
Secure delivery foundations, observability and automation for teams operating at enterprise scale.
04 / Delivery model
Start with the work. Then shape the team.
Our delivery model keeps the expert core close to the problem and expands only when specialist depth or capacity adds value.
01
Understand
We examine the business outcome, technical reality, constraints and risks before prescribing a team or solution.
You leave withA clear problem definition and delivery shape.
02
Assemble
We select a senior core around the work, then add specialist depth only where the engagement genuinely needs it.
You leave withThe right experts, roles and accountability.
03
Deliver
The team works in short, visible loops. AI accelerates suitable tasks; experienced engineers control the consequential decisions.
You leave withWorking software, evidence and fewer surprises.
04
Evolve
We strengthen the product, platform and internal capability as the work moves from first release into dependable operation.
You leave withA system and team that can keep improving.
05 / The network advantage
Small core.
Wider reach.
Novaconix stays deliberately lean. Each engagement begins with a small group of senior people selected for the problem, not a pre-built staffing pyramid.
When the work calls for an additional specialist or more capacity, our partnership with Dvash and our wider vetted network help us extend the team without lowering the bar or fragmenting ownership.
CORENovaconixDirection · Architecture · Delivery
ADD DEPTH WHEN NEEDED
EngineeringProductDesignDevOpsData & AIQA
06 / Ways to work together
The level of support should match the mission.
From a focused senior intervention to a complete delivery team, the engagement stays transparent and accountable.
Focused engagement01
Advisory & discovery
For architecture decisions, AI opportunity assessment, product definition or a difficult programme that needs a senior reset.
- Partner-level involvement
- Evidence-based recommendations
- Concrete next-step plan
End-to-end delivery02
Dedicated senior team
A compact, cross-functional team owns a defined product, platform or modernisation outcome from design through release.
- Team shaped to the mission
- Integrated product and engineering
- Clear delivery ownership
Embedded expertise03
Specialist augmentation
Add a carefully selected senior specialist or a small group to close a capability gap inside your existing team.
- Targeted expertise
- Flexible duration
- Support from the wider network
07 / Technical range
Broad enough for the system. Senior enough for the details.
01Product engineering
TypeScript · React · Next.js · Node.js · Java · .NET · Python
02Data & AI
LLMs · RAG · PyTorch · Computer vision · Data pipelines · Analytics
03Cloud & platform
AWS · Azure · GCP · Kubernetes · Docker · CI/CD · Observability
04Architecture & quality
APIs · Microservices · Security · Automated testing · Performance
Technology choices follow the product, operating environment and team, not a preferred vendor list.
08 / Questions
A clear model before the work begins.
01How do you assemble a team?
We start with the problem, system context and outcome—not a generic list of available people. A senior Novaconix lead defines the essential roles, selects the core team and adds specialist depth from our partner network only where it improves the delivery.
02Do you use AI on every project?
No. We use AI when it can improve speed, insight or consistency without weakening control. Some work benefits from extensive AI assistance; other work depends primarily on engineering judgement, domain expertise and careful human review.
03Who is accountable for architecture, quality and security?
Experienced people are. AI may support analysis, implementation or testing, but senior engineers remain responsible for technical decisions, reviews, risk controls and release readiness.
04Can you work with our existing team?
Yes. We can deliver a defined outcome, embed selected specialists or work alongside your product and engineering leaders. The model is adapted to the capability you already have.
05How does the Dvash partnership work?
It extends our reach when an engagement needs a particular specialist or additional capacity. Novaconix shapes and leads the delivery; Dvash and our wider network help us identify relevant talent without turning the engagement into anonymous staffing.
06Can you support enterprise and regulated environments?
Yes. We design around the client’s security, compliance, data and procurement requirements. The exact controls and deployment model are agreed before sensitive code or data enters the delivery workflow.
Start with the challenge
Tell us what needs to change.
We will help you clarify the problem, the right expertise and a sensible first step, whether the answer involves AI, software engineering or both.
hello@novaconix.com
European delivery · Working across time zones
Thank you.
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