Hecatus Research

Work

01
Systematic Investment Technology

Research to portfolio. One integrated platform.

1000+ Capital

Hecatus Research designed and engineered a systematic investment research and portfolio technology platform for 1000+ Capital.

The work brought together data engineering, quantitative model development, automated experimentation, portfolio construction and investment reporting within a reproducible research-to-production environment.

What we developed

  • Quantitative research and modeling

    Data ingestion and research pipelines, statistical and econometric model development, automated experimentation, systematic backtesting and repeatable evaluation workflows.

  • Portfolio engineering

    A common framework for strategy integration, portfolio allocation, risk overlays and cost-aware implementation across multiple investment approaches.

  • Platform architecture

    Scalable data and computation services, research orchestration, reproducible runs and reusable engineering components connecting models to the broader investment operation.

  • Investment operations and reporting

    Traceable research outputs, portfolio analytics, transaction-cost and fee modeling, reconciliation, reporting and audit-ready run records.

Engineering contribution

The central contribution was the integration of these capabilities into one coherent engineering platform, reducing the fragmentation between research, strategy development, portfolio analysis and investment operations.

Hecatus Research provided platform architecture, quantitative development and engineering. 1000+ Capital retains its investment strategies and portfolio decisions.

02
Applied AI / Enterprise Engineering

Operational intelligence across complex workflows.

Head of AI mandate, led by our principal. Client name available on request.

Delivered as a Head of AI mandate led by our principal: the design of an operational-intelligence capability bringing engineering, product and operational information into a consistent data model.

The approach combined data integration, deterministic indicators, AI-assisted analysis and automated alerting to identify exceptions, improve operational visibility and reduce manual investigation.

Engineering scope
Data integration
Consolidation of information from engineering delivery, product and knowledge-management systems into a common analytical representation.
Operational signals
Design of deterministic operational indicators, validation rules and structured alerting.
AI-assisted analysis
Agent-assisted investigation and interpretation of operational events, with controlled workflows and evaluation.
Engineering architecture
Data pipelines, processing design, monitoring and integration with existing operational channels, built in an isolated AWS Bedrock environment with a RAGFlow-based semantic layer and Amazon Bedrock AgentCore for agent execution.
Contribution

The work focused on the architecture and prototyping of a measurable operational intelligence capability, connecting disparate enterprise workflows through a consistent analytical layer.

03
Applied AI / Enterprise Engineering

Due diligence agents and a RAG system.

Client name available on request.

Design and engineering of AI agents for due-diligence workflows, and of a retrieval-augmented generation (RAG) system, for a private family office.

The agents use state-of-the-art transformer small language models (SLMs) served through AWS Bedrock.

Institutional Advisory

Quantitative Research & Institutional Readiness

Hecatus Research advises systematic investment managers and specialist technology teams on quantitative research, investment platform architecture and preparation for institutional due diligence.

Our work can cover statistical validation of investment strategies, portfolio and risk methodology reviews, operating-model assessments and the engineering required to produce reproducible investment evidence.

For managers preparing for institutional capital, advisory scope may include investor DDQ preparation, performance-methodology documentation, GIPS-readiness assessment, administrator and auditor coordination, data-room organization and review of investor-facing performance representations.

We also advise on technology architecture, research automation, platform modernization and the transition from experimental models to operational investment systems.

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