# bigspark

> bigspark is a UK-based data and AI consultancy helping financial services organisations unlock the value in their data and apply AI responsibly. Founded by three scientists — a biologist, an economist, and a physicist — bigspark delivers engineering expertise, ready-to-use AI products, and strategic advisory from initial assessment through to production.

> Listed in The Times' Top 100 Fastest Growing Private Companies in 2024. Trusted partners to organisations including NatWest, Barclays, and Esure.

## Services

- [Deliver Data Products](https://bigspark.ai/our-products): bigspark's suite of AI-powered products purpose-built for financial services — including synthetic data generation, KYC automation, responsible AI management, and customer data quality.
- [Scale Engineering Teams](https://bigspark.ai/what-we-do/scale-engineering-teams): Embedded world-class engineers across software, data, platform, and site reliability engineering to accelerate delivery and close capability gaps.
- [Modernise Data Infrastructure](https://bigspark.ai/what-we-do/modernise-data-infrastructure): Transform fragmented legacy data systems into scalable, secure, high-quality infrastructure with big data consulting, governance, and pipeline automation.
- [Assess and Transform Through AI Adoption](https://bigspark.ai/what-we-do/assess-and-transform-through-ai-adoption): AI strategy, risk management, and responsible adoption — from readiness assessment through to fully engineered production solutions.

## Products

- [Aizle](https://bigspark.ai/our-products): Synthetic data generation platform enabling safe innovation without exposing sensitive customer data.
- [PRISM](https://bigspark.ai/our-products): Responsible AI management platform for governing the full AI lifecycle — risk, compliance, and oversight.
- [SparkScan](https://bigspark.ai/our-products): Customer data quality and enrichment tool for financial services organisations.
- [KAI](https://bigspark.ai/our-products): AI-powered KYC investigator automating know-your-customer processes.

## Expertise

- [Responsible AI](https://bigspark.ai/expertise/responsible-ai): Framework and methodology for selecting, deploying, and managing AI responsibly.
- [Crime Prevention Assessment](https://bigspark.ai/expertise/crime-prevention-assessment): Specialist capability in fraud detection, AML, and financial crime prevention.
- [Fraud and Financial Crime](https://bigspark.ai/what-we-do/fraud-and-fincrime): End-to-end solutions for financial crime detection and prevention.

## Sectors

- [Banking](https://bigspark.ai/who-we-help/industries/banking)
- [Insurance](https://bigspark.ai/who-we-help/industries/insurance)
- [Wealth and Asset Management](https://bigspark.ai/who-we-help/industries/wealth-asset-management)
- [Financial Services](https://bigspark.ai/who-we-help/industries/financial-services)

## Company

- [About Us](https://bigspark.ai/about-us): The bigspark story, founding team, and company culture.
- [Our Clients](https://bigspark.ai/our-clients): Case studies and client work including Aizle deployments.
- [Careers](https://bigspark.ai/careers): Join the bigspark team.
- [Contact Us](https://bigspark.ai/contact-us): Get in touch to discuss your data and AI challenge.
- [Memberships](https://bigspark.ai/memberships): Industry memberships and accreditations.

## Legal

- [Privacy Policy](https://bigspark.ai/privacy-policy)
- [Terms and Conditions](https://bigspark.ai/terms-and-conditions)
- [Information Security Policy](https://bigspark.ai/information-security-policy)

## Leadership

- [Shaine Ismail](https://bigspark.ai/about-us/shaine-ismail): Founder | Product & Technology Leader
- [Gail Carley](https://bigspark.ai/about-us/gail-carley): Head of People
- [Kate Hughes](https://bigspark.ai/about-us/kate-hughes):  Head of Data and AI Advisory

## Recent Blog Posts

- [Week 2: Knowledge is Power.](https://bigspark.ai/blogs/week-2-knowledge-is-power): Without grounded knowledge, an AI agent is just expensive autocomplete. This week we built the knowledge layer — versioned, tested, and deployable.
- [Week 1: Measure Twice. Build Once. Let the Agents Do the Rest.](https://bigspark.ai/blogs/week-1-measure-twice-build-once): How bigspark approached its first week of AI-native transformation: choosing the right tools, establishing the PatternOps framework, and shipping production-grade foundations fast.
- [Staff Augmentation Is Dead. It Just Doesn't Know It Yet.](https://bigspark.ai/blogs/staff-augmentation-is-dead): The business model that's sustained thousands of engineering consultancies for the last two decades is dying fast — and here's what bigspark is doing about it.
- [Why bigspark acquired Aizle: synthetic data for financial services innovation](https://bigspark.ai/blogs/aizlefinancialservices): Explore how Aizle’s synthetic data platform helps banks and fintechs innovate safely, improve fraud detection, and accelerate AI in financial services.
- [Analysis: AI that ‘neutralises’ call centre accents – boosting customer service or empowering fraudsters?](https://bigspark.ai/blogs/aivoicemasking): AI voice-masking boosts service by removing bias, but opens doors for fraudsters to sound more convincing than ever
- [Why Are Companies Slow to Adopt AI in Fighting Financial Crime?](https://bigspark.ai/blogs/fightingfincrime): Despite AI’s promise in fighting financial crime, firms remain cautious – citing regulation, cost, and data silos as barriers to adoption