Overview
bigspark is an AI-powered engineering consultancy trusted by government, regulators and global enterprises to design, build and govern critical AI, data and technology systems.
We combine strategic advisory with hands-on engineering to help organisations adopt AWS Cloud, modernise data platforms, deploy production AI and build secure, scalable technology capabilities.
Our Services
1. Advisory and Architecture
We help regulated enterprises develop and execute AI, data and cloud strategies aligned with business, technical and regulatory requirements.
Services include:
- Enterprise, data and solution architecture
- AWS adoption and cloud modernisation
- AI strategy, governance and regulatory compliance
- Data platform architecture and operating models
- Cloud security, technology risk and delivery planning
Our practitioners bring experience from Tier 1 financial institutions, regulators and complex enterprise environments.
2. Engineering and Delivery
Our forward-deployed engineers work alongside customer teams to design, build, integrate and operate production technology solutions.
Capabilities include:
- Generative AI and machine learning engineering
- Data platforms, pipelines and modernisation
- Cloud-native applications and APIs
- Platform engineering, DevOps and SRE
- Data integration, quality and observability
- AI workflow automation and systems integration
- Production deployment and technical support
Engagements range from individual specialists to multidisciplinary delivery teams.
3. AI Governance and Technology
bigspark develops proprietary technology for regulated industries, including:
- Aizle: Synthetic data and safe innovation
- PRISM: Responsible AI governance
- SparkScan: Data quality
- Kai: KYC capabilities
These technologies may support relevant engagements where separately agreed. Product licences and subscriptions are not automatically included in professional services fees.
AWS Services Supported
bigspark delivers consulting and engineering services supporting the adoption, implementation, integration and operation of AWS Cloud technologies.
Depending on customer requirements, supported services may include:
- Amazon Bedrock: Generative AI, agents and enterprise AI
- Amazon SageMaker AI: Machine learning development and deployment
- Amazon S3: Data storage and data lake architectures
- AWS Glue: Data pipelines and integration
- Amazon Redshift: Cloud analytics and data warehousing
- Amazon EC2: Cloud infrastructure and application hosting
- AWS Lambda: Serverless applications and automation
- Amazon EKS: Container platforms and engineering
- Amazon CloudWatch: Monitoring and observability
Engagements may cover AWS architecture assessments, cloud migration, modernisation, implementation, systems integration, optimisation and operational readiness.
AWS infrastructure and service consumption charges are separate from bigspark's professional services fees and remain the customer's responsibility unless otherwise agreed.
Engagement Model
We offer flexible professional services through specialist advisory, embedded engineers, delivery teams, defined projects and ongoing technical support.
Scope, deliverables, duration and commercial terms are agreed individually through a statement of work and AWS Marketplace private offer.
Why bigspark?
Regulated-sector expertise: Experience delivering complex AI, data and engineering programmes in financial services, government and enterprise environments.
Production engineering: Hands-on specialists who design, build and operate real-world systems, not just provide recommendations.
Governance by design: Security, traceability, regulatory compliance and responsible AI incorporated throughout delivery.
Proven delivery: Over six years of experience and more than 50 projects delivered, including major data and AI transformation programmes.
Recognised innovation: Ranked 48th in the Sunday Times Top 100 Fastest Growing Private Companies, with industry recognition across AI innovation, responsible AI, data solutions and SRE.
Flexible teams: From one specialist to a full engineering team, working within customers' existing technology and delivery organisations.
Highlights
- Production AI for Regulated Industries: Advisory and delivery from practitioners with Tier 1 bank and regulator experience, with governance, traceability, and auditability built in from day one.
- Forward-Deployed Engineering Teams: Embed specialists in software, data, platform, and SRE to ship production AI, modernise data infrastructure, and accelerate AI adoption -- from a single specialist to a full delivery pod.
- Proprietary AI Products: Production-grade tools including Aizle for synthetic data, PRISM for responsible AI management, and SparkScan & Kai for data quality and KYC -- built for financial services and regulated industries.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
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Support
Vendor support
Customer Support – bigspark AI Engineering & Consulting Services
bigspark provides professional support throughout each contracted engagement, delivered directly by our experienced consulting and engineering teams.
Pre-Sales Support
Customers can contact bigspark for information about our services, technical capabilities, AWS expertise, engagement scope and commercial arrangements.
During Engagements
Each engagement is supported by an assigned delivery lead and engineering team. Support includes:
- Regular progress updates and delivery reviews
- Technical assistance and issue resolution
- Architecture and implementation guidance
- Escalation of delivery or technical concerns
- Coordination with customer technical teams
Post-Engagement Support
Customers receive agreed technical documentation, knowledge transfer and operational handover. Additional support, maintenance or managed services can be arranged under a separate agreement.
Support Contact
Email: support@bigspark.dev
Website: https://bigspark.ai
Support Availability
Monday to Friday, 9:00 AM – 5:30 PM UK time, excluding UK public holidays.
Response Times
Initial response within two business days for general enquiries.
Engagement-specific support levels, response times and escalation procedures are agreed in the Statement of Work.
Support is provided in English.