Solutions
From ready-to-integrate algorithms to AI systems and the data platform underneath them, Rvalor turns institutional-grade quantitative research into tools your team can use every day.
For investment funds
Algorithms for investment funds
License the quantitative engines that power Rvalor's analysis of thousands of stocks, sovereign bonds and equity ETFs. Delivered as data feeds, APIs or embedded signals, they slot into your research and portfolio process without rebuilding it.
- Fundamental scoring and DCF-based intrinsic value across a broad asset universe
- Multi-asset ranking for stocks, sovereign bonds and equity ETFs
- Daily, systematic updates with transparent, explainable methodology
- Flexible delivery: data feeds, API access or signals embedded in your stack
For banks and wealth managers
Tailor-made solutions
We build bespoke analytics, screeners and diversified-portfolio construction around your mandates, asset universe and risk framework, then integrate them into the tools your teams and clients already use.
- Custom screeners and dashboards aligned to your investment policy
- Diversified-portfolio construction calibrated to your risk tiers
- White-label integration into your platforms and client workflows
- Advisory support from research design through deployment
AI and automation
Agentic pipelines inside your workflows
We bring AI into your investment process where it earns its place: research and screening for funds, credit and onboarding documents for banks, client reporting for wealth managers. Agents plan a task, call your data and valuation tools, check their own work and escalate to a human when confidence is low. Every run is logged, reproducible and open to review.
- Agentic pipelines that research, summarize and draft against your own data
- Retrieval over your filings, notes and research, with sources cited on every answer
- Workflow automation wired into the tools your teams already use
- Human-in-the-loop checkpoints, full run traces, and cost and latency monitoring
Data platform
Database management
Analytics are only as good as the data underneath them. We design the schema, build the ingestion and validation pipelines, and run the database your models, dashboards and APIs read from, so every team works off the same numbers.
- Schema design and modeling for market, fundamental and alternative data
- Automated ingestion pipelines with validation, deduplication and backfills
- Data quality monitoring, lineage, and alerting on broken or stale feeds
- Managed hosting, backups, access control and query performance tuning
Let's design the right solution for you
Tell us about your mandate and stack, and we'll propose an approach.