build
AI demos are easy. AI in production is hard. We start from the customer, building enterprise-grade AI that consistently delivers.
blog/products
Here's some of what we've built and our thinking behind it.
Building with agents: A conversation with the creator of OpenClaw
Five things we've been thinking about since our conversation with Peter Steinberger, the creator of OpenClaw.
MCP access to a financial planning engine
We're catching up with teams from the hackathon to see how the product has progressed. First up is Empyrean, who built an MCP server to provide access to their planning and budgeting results.
AI-powered regulatory intelligence for financial institutions
An AI compliance agent that gives banks, credit unions, and other financial firms fast, cited, auditable answers to regulatory questions. It works over 17 years of proprietary, Ncontracts-curated regulatory data, returning the exact passages and citations behind each answer.
In compliance, answers are only useful if a bank can defend them. Every response must trace to an authoritative source and hold up under audit, while being grounded in overlapping, ever-changing rules that generalized AI often gets wrong.
A production-readiness rubric for agentic AI
For teams building agentic AI products, this rubric provides a structured way to assess how production-ready their work actually is.
Introducing Tristan Ratchford: Catalyst’s new CTO
Lloyd Hilton, Head of Hg Catalyst, sat down with Tristan in his second week. They talked about why he joined Catalyst, how the engineering problems compare to Datadog, and the kind of people he wants to hire.
Hackathon: 40 teams, three cities, 48 hours
More than 40 product and engineering teams from across the Hg portfolio are gathering in London, Paris, and New York to build agentic AI products, live and in parallel, over 48 hours.
How we think about evals in production
How we build evals into AI products, who owns quality, and five things we're watching as the space evolves.
Behavioural modelling for banks and credit unions
Enables banks and credit unions to calibrate, test, and document how financial instruments like loans, deposits, and credit cards actually behave. ModelIQ replaces static, one-off consultant studies with ongoing, institution-specific calibration and governance.
Datasets with 100 million daily transactions must be segmented, modelled, and calibrated per institution. Every model output needs a full audit trail and transparent documentation, so regulators and examiners can interrogate assumptions directly rather than treating the model as a black box.
Introducing Hg Catalyst
We've officially launched Catalyst. Operating from hubs in London and New York with a scaled capacity of over 80 AI engineers, product managers, and designers.
AI-powered compliance and fair lending analysis
Tools that transform compliance workflows. Complaint Ntelligence automatically categorises customer complaints, spots patterns, and recommends remediation. Regression Ntelligence automates fair lending analysis that previously took weeks and expensive consultants, delivering answers in minutes.
The model must isolate legitimate credit factors like income and credit history from potential bias signals in lending decisions. When regulators scrutinise the output, every statistical conclusion must be defensible, making precision in the underlying regression modelling non-negotiable.
Agentic AI for wealth advisers and asset managers
AI agents that work alongside wealth advisers to handle call preparation, follow-ups, portfolio monitoring, and operational tasks. Nexus AI improves adviser productivity and client outcomes while giving firms visibility on cost-to-serve across their adviser base.
There's no objective ground-truth for adviser-client interactions, and outcomes like investment returns play out over months, not minutes. Building eval frameworks where success is inherently subjective required a fundamentally different approach.
Agentic AI for community association management
Native, embedded AI productivity layer across the CINC platform, enabling community managers to prioritise work, automate workflows, manage communications, and execute actions across HOAs. Provides portfolio-wide benchmarking, reporting, and performance analytics.
Property managers have to collaborate across an ecosystem of homeowners, boards, vendors, and regulators. Building AI that operates across these stakeholders, each with different needs, permissions, and context, requires agents that coordinate with each other without losing accuracy across associations.
openroles
We’re always on the lookout for exceptional talent. If we don’t have any relevant roles open but you think you’d be a good fit, please get in touch.
AI Engineering Intern
As an AI Engineering Intern, you'll be paired with a full-time Catalyst engineer as your mentor and work together on an active build inside one of Hg's portfolio companies.
Applied AI Engineer
Operate as a product-minded engineer at the intersection of AI and real-world business problems.
Applied AI Engineer
Operate as a product-minded engineer at the intersection of AI and real-world business problems.