AI Wealth & Investment Platform Development
We build robo-advisory engines, portfolio analytics, rebalancing logic, and investor reporting for wealth and investment products. Suitability-aware, auditable, architected to scale.
What we build
Robo-advisory engines
Risk-profiling questionnaires, goal-based model portfolios, and automated allocation logic that maps each investor to a suitable strategy.
Portfolio construction & optimisation
Mean-variance and factor-based allocation, constraint handling, and drift-aware rebalancing calibrated to each mandate.
Portfolio analytics & performance
Time-weighted and money-weighted returns, attribution, risk metrics, and benchmark comparison over clean, reconciled data.
Automated rebalancing
Threshold and calendar-based rebalancing with tax-aware lot selection and trade-list generation into your execution venue.
Investor reporting & statements
Branded periodic statements, holdings and transaction reports, and portal dashboards generated from a single reconciled ledger.
Suitability & audit trail
Every recommendation carries the risk profile, rationale, and inputs behind it: immutable logs your advisers and reviewers can reconstruct.

Financial workflows need evidence at every decision
Reference architecture
- Risk Profiling
- Model Portfolio Assignment
- Portfolio Optimisation
- Rebalancing Engine
- Trade List → Execution
- Performance & Reporting
- Audit Log
A typical robo-advisory pipeline: a risk-profiling step assigns each investor to a model portfolio, the optimiser and rebalancing engine produce a trade list for your execution venue, positions are reconciled for performance and investor reporting, and every recommendation and trade is written to an immutable audit log.
Integrations shipped across 21+ partners.
Market & reference data
- Bloomberg API
- Refinitiv (LSEG)
- Polygon.io
- Alpha Vantage
- IEX Cloud
Custody, brokerage & execution
- Interactive Brokers
- Alpaca
- Apex Clearing
- DriveWealth
- FIX Protocol
Account aggregation & banking data
- Plaid
- Yodlee
- MX
- Tink
KYC / suitability onboarding
- Onfido
- Sumsub
- Persona
- ComplyAdvantage
Analytics & ML
- SageMaker
- Vertex AI
- Custom Python (pandas, PyPortfolioOpt)
Which engagement fits
Project Build
For a new wealth or robo-advisory platform: a focused build covering onboarding, the allocation engine, rebalancing, and investor reporting end to end.
Explore Project BuildEmbedded Squad
For evolving strategies and reporting: a dedicated team that ships new model portfolios, analytics, and portal features as your product and AUM grow.
Explore Embedded SquadTech Audit
For assessing an existing platform: a 5-day diagnostic of allocation logic, rebalancing correctness, reporting accuracy, and audit-readiness.
Explore Tech AuditCompliance considerations
| Standard | Status | What we ship |
|---|---|---|
| Investment suitability (Reg BI / MiFID II) | In progress | We build the risk-profiling, suitability checks, and per-recommendation rationale logging: the engineering is ours; the suitability policy and final sign-off stay with your registered advisers. |
| SEC / FINRA books & records (17a-4) | In progress | Immutable, time-stamped recordkeeping of recommendations, trades, and communications architected against WORM expectations. Your compliance team owns retention policy and filings. |
| GDPR / UK GDPR | Compliant | Lawful-basis handling, data subject rights, and retention controls across investor data captured during onboarding, profiling, and reporting. See /compliance/gdpr. |
| SOC 2 Type II | In progress | We engineer the security, availability, and audit controls investors and custodians expect, including access controls, logging, and change management, so an attestation is achievable; the audit itself is run by your assessor. |

Built for financial-grade delivery
Money movement leaves a trail
Every payment, every risk decision, every compliance check: engineered to be explainable and audit-ready. The architecture ships with the evidence, not as an afterthought.
Frequently asked questions
Yes. We implement portfolio construction (mean-variance, factor, and goal-based models), constraint handling, and both threshold and calendar rebalancing. Whether you bring your own strategy or want us to build the optimiser, the logic is tested against your target behaviour before launch.
Building a wealth or investment product? Schedule a meeting.
We’ve shipped the robo-advisory engines, portfolio analytics, and investor reporting that wealth teams run in production. Tell us what you’re building.