Nextvestment is a Singapore-based AI company that sits between financial institutions, their advisors, and their clients delivering governed, explainable investment intelligence without requiring firms to replace their existing systems.
The Story
Clients are forming financial views using generic AI tools before they speak to their advisor. By the time that conversation happens, the institution has already lost the first moment of influence. Advisors face clients with pre-formed expectations and as AI gets used across a regulated firm without oversight, the compliance exposure compounds.
What existed before was a choice between three inadequate options: generic chatbots with no compliance controls, research platforms not built for client interaction, or digital wealth platforms requiring full system replacement. None of them solved all the constraints at once. Nextvestment sits between the institution, its advisors, and its clients as an intelligence layer. It works within existing systems and requires no re-platforming. Every output is governed, explainable, and auditable. Every client interaction also feeds back to the advisor as usable intelligence.
Philosophy Powering Nextvestment
Nextvestment’s business model is a revenue-sharing arrangement with institutions, so they grow when their clients grow. That single principle shapes most of what gets built. Features that create dependency are out; features that create measurable outcomes for the institution and its end clients are in.
On hiring, the founding team brings over 50 years of combined experience across finance, AI, and enterprise sales at institutions including DBS, Google, EY, Citibank, and FactSet. The principle has been to hire people who have worked inside the problem, not just around it. Michael ran a 150-person technology organisation at a USD 3.5 billion AUM firm. Avenash spent 12 years at FactSet. Annabelle spent 20 years driving enterprise sales in financial services. The team knows the constraints from the inside.
“Solve the hardest problems first. Before building for scale, the team built for regulatory compliance, explainability, and audit readiness. Most AI tools in financial services optimise for one of these constraints and fail because of the others.”
Key Milestones
- 40% client activation rate at Phillip Securities with zero marketing spend
- 20,000+ clients active monthly across deployments
- WealthTech100 Winner in both 2025 and 2026
- Global Private Banker WealthTech Award 2026 and SC Ventures AI & FinTech Winner
- Selected into MAS PathFin.AI, Singapore’s regulatory AI programme
One Thing to Steal
Solve the hardest constraints first. Nextvestment spent longer in the build phase than most early-stage companies because they prioritised compliance, explainability, and audit readiness before optimising for growth. It slowed them down early. It also means they never had to retrofit governance into a product that was already live in regulated institutions. For any company building in a regulated environment, the constraints that feel like obstacles at the start become the moat later.
