Capabilities

End-to-end AI engineering
for the modern enterprise.

From strategy and discovery through production deployment and continuous evolution — SVC partners with you across the full programme lifecycle, staffed by senior engineers and led with operational discipline from day one.

9
Integrated practices
50+
Projects delivered
7+
Countries served
4+
Years of experience
AI / ML
Practice 01
Analytics
Practice 02
Cloud
Practice 03
Automation
Practice 04
Infrastructure
Practice 05
Software
Practice 06
Data Eng
Practice 07
Engineering
9 practices
In sync
End-to-end · 9 connected practices

AI & Machine Learning

Production-grade models, MLOps, continuous training pipelines and evaluation harnesses engineered for enterprise scale.

  • · Classical ML and deep learning
  • · LLM fine-tuning and retrieval-augmented generation
  • · MLOps and model governance

Data Analytics

Real-time dashboards, BI modernisation and decision-intelligence layers built on top of your enterprise data warehouse.

  • · Looker, Power BI and Tableau
  • · Self-serve semantic layers
  • · Product and event analytics

Cloud Computing

Architect, migrate and optimise workloads across AWS, Azure and Google Cloud — engineered for resilience, security and cost discipline.

  • · Cloud strategy and landing zones
  • · Workload migration and modernisation
  • · FinOps and cost engineering

Automation & Robotics

Robotic process automation, agentic workflows and industrial computer vision that remove repetitive work from your operations.

  • · Agentic workflow design
  • · RPA modernisation
  • · Industrial computer vision

Infrastructure & SRE

Cloud-native infrastructure, infrastructure-as-code, observability and SRE practices for always-on enterprise platforms.

  • · Kubernetes and service mesh
  • · Terraform and Pulumi
  • · Observability and incident response

Software Engineering

Custom web, mobile and SaaS platforms — engineered for performance, scalability and long-term maintainability.

  • · React, Next.js and Vue
  • · Node, Go and Python services
  • · iOS, Android and React Native

Data Engineering

Modern lakehouses, ELT pipelines and data-governance frameworks built for trustworthy enterprise data assets.

  • · Snowflake, Databricks and BigQuery
  • · dbt and semantic modelling
  • · Streaming with Kafka and Flink

Intelligent Systems

Multi-agent platforms, copilots and decision engines that operate on enterprise context in real time.

  • · Agent orchestration frameworks
  • · Tool and function calling
  • · Knowledge graphs and retrieval
Engagement models

Three structured ways to engage.

Select the engagement model that aligns with your stage and risk profile — and transition between them as your programme matures. Each path is co-designed in the discovery phase.

Project · Fixed scope

Fixed-scope delivery

For well-defined initiatives with clear acceptance criteria. We scope, deliver and transition the system to your team with full documentation and test coverage.

  • · 4–16 week engagements
  • · Outcome-based pricing
  • · Includes knowledge transfer
Retainer · Recommended

Embedded engineering squad

A senior cross-functional team operating as your in-house AI capability — covering strategy, engineering and SRE under a single accountable lead.

  • · 3–12 month engagements
  • · Dedicated technical lead
  • · Monthly roadmap reviews
Specialist · On-demand

Targeted expertise

When your team needs a specific senior capability — fine-tuning engineers, MLOps or platform specialists — onboarded directly to your delivery teams.

  • · Senior engineers only
  • · Time & materials billing
  • · Ramp within two weeks
Delivery process

A disciplined path from strategy to impact.

01Discover

Strategy & Discovery

Profile your business objectives, data landscape and the highest-leverage AI opportunities — captured in a written discovery brief.

02Design

Architecture & Prototype

Reference architectures, rapid prototypes and validated proof points tested against your production data.

03Build

Engineer & Deploy

Production-grade systems shipped via CI/CD with end-to-end observability, governance and rollback safety.

04Scale

Operate & Evolve

Continuous improvement, model monitoring and roadmap stewardship as your AI programme matures.

Industries we serve

Domain-specific intelligence for regulated industries.

01

Financial Services

Fraud detection, credit risk intelligence, regulatory compliance and conversational banking.

02

Healthcare & Life Sciences

Clinical decision support, imaging AI, claims automation and operational analytics.

03

Retail & Consumer

Personalisation, demand forecasting, pricing intelligence and intelligent storefronts.

04

Manufacturing & Logistics

Predictive maintenance, computer-vision quality control and supply-chain optimisation.

Common questions

Frequently asked questions

How quickly can an engagement begin?

Discovery typically commences within one week of contract execution. Most engagements deliver a working prototype within two to four weeks.

Do you support on-premises and customer-VPC deployments?

Yes. SVC deploys within your cloud account, your customer VPC, or fully on-premises where data-residency requirements demand it.

How are data privacy and compliance managed?

All engagements operate under ISO 27001 and SOC 2 aligned controls by default. HIPAA, PCI-DSS and GDPR scopes are supported on a per-engagement basis with full documentation.

Who owns the intellectual property we develop together?

You retain full ownership of all custom code, trained models and data artefacts produced for your engagement. SVC's shared platform components remain licensed for ongoing use.

Engage with us

Have a business problem worth solving with AI?

Share a brief and a senior partner will respond within one business day with a clear, no-obligation engagement plan.