Manual rebalancing takes too long.
Analysts rebuild models, chase spreadsheet versions, and repeat the same checks every review.
Gainloom turns holdings, limits, and objectives into a ranked allocation in minutes.
Gainloom helps investment teams turn portfolio data, constraints, and risk goals into clearer allocation decisions.
Increase quality growth while keeping downside inside policy limits. Healthcare offsets beta from semiconductors.
Gainloom is built around the real institutional workflow: constraints, risk, optimization, review, and documentation.
Manual rebalancing takes too long.
Analysts rebuild models, chase spreadsheet versions, and repeat the same checks every review.
Gainloom turns holdings, limits, and objectives into a ranked allocation in minutes.
Risk exposure is hard to explain.
Drawdown, concentration, and scenario risk live in different files and different meetings.
Risk metrics, stress tests, and allocation rationale stay connected in one workflow.
Optimization is slow to operationalize.
Good models often fail at the final mile: constraints, notes, approvals, and repeatability.
Teams get decision-ready outputs with assumptions, tradeoffs, and audit history.
The product is designed to keep quantitative depth without making the process feel heavy.
Bring in holdings, prices, benchmarks, and account-level limits.
Set risk tolerance, position limits, sector caps, liquidity needs, and rebalance rules.
Review allocations, stress tests, expected outcomes, and investment rationale.
Gainloom surfaces the allocation, the risk, the simulation, and the reasoning in the same view.
Holdings, constraints, and risk budgets compile into allocation candidates.
Monte Carlo paths and stress regimes update expected outcomes.
Each run stores assumptions, outputs, and decision context.
Gainloom is currently onboarding a limited number of early institutional users.
For investor, partnership, and early customer conversations, reach us directly.
Short answers to the questions that matter before a private beta call.
The platform is designed around encrypted data, role-based access, audit logs, and private deployment options.
The first workflows focus on public equities, ETFs, factors, and liquid multi-asset portfolios.
CSV, Snowflake, Bloomberg exports, custodial data, and API-based portfolio feeds are on the roadmap.
We review early access requests and onboard a small number of qualified institutional teams.
Private beta access is rolling and prioritized by workflow fit and data readiness.
No. Gainloom is decision-support software for qualified teams that own their investment process.