Gilion
Agentic Finance

As seen in
Leading financial publications

As seen in
Leading financial publications

As seen in
Leading financial publications

Gilion AI Engine

Gilion technology provides the future operating system of investment intelligence.

By uniting deterministic data pipelines, agentic reasoning architectures, human-in-the-loop interpretability, and programmable customisation, Gilion defines the next productivity frontier in finance. The technology brings higher analytical consistency, faster research cycles and customisable intelligence.
Gilion technology provides the future operating system of investment intelligence.

By uniting deterministic data pipelines, agentic reasoning architectures, human-in-the-loop interpretability, and programmable customisation, Gilion defines the next productivity frontier in finance. The technology brings higher analytical consistency, faster research cycles and customisable intelligence.

50+

Data Connectors

100+

Process Layers

90%

Forecasting Accuracy

100%

GDPR Compliant

The infrastructure

Gilion's AI Infrastructure

A finance-native AI stack engineered from the ground up for building tailored real-world company understanding for investment funds, capital institutions and entrepreneurs. Gilion’s infrastructure fuses event-driven data ingestion, ML and generative AI modelling, and context-aware reasoning orchestration, forming a complete pipeline from raw input to investment-grade intelligence.

50+ Real-time Connectors

Flexible connector infrastructure, with 50+ streaming real-time data connectors across ERP, CRM, payments, app analytics, and market APIs

Unified financial ontology

Unified financial ontology translating heterogeneous schemas into canonical business entities and individual funds’ metrics definitions, for example revenue, cohorts, churn, LTV, product lines, customer segments

10k-Layer DAG Engine

Individualized Deep Directed Acyclic Graph infrastructure across every single company, orchestrating 10,000+ transformation layers with versioned lineage and advanced re-computation logic.

Self-serve ingestion layer

Self-serve ingestion layer with schema inference, validation, monitoring and reusable transformation templates.

Event-time alignment & backfill

Event time alignment and backfill logic for long-horizon growth analytics

agentic

Agentic AI Network

Gilion’s Agentic AI Network is a distributed reasoning architecture designed for investment-grade research automation. Each node in the network represents an autonomous analytical agent with a defined reasoning scope, operating within a codified workflow graph and orchestrating tool usage, designed to facilitate and amplify human research patterns.

Structured Reasoning Graph

Hierarchical reasoning graph infrastructure that allows decomposition of complex research questions into structured sub-problems, controlling the definitions of research activities and positive and negative signals with high precision

Agent-Level OODA Loop

OODA-loop orchestration — Observe, Orient, Decide, Act — embedded at the agent level, driving best practice conclusion-led research processes

Multi-agent synchronisation

Multi-agent synchronisation enabling concurrent hypothesis generation and validation

Context partitioning & scope control

Context partitioning & adaptive scope control for efficiency and truth consistency

Multimodal retrieval & synthesis

Multimodal retrieval and synthesis across structured data, text corpora, models, transcripts, MCPs and APIs

the front

Agentic Frontend Layer

The frontend is not a static interface — it’s a self-assembling reasoning environment. It composes dynamically based on the query, context, and investment methodology, enabling human–AI collaboration with deep and efficient interpretability.

Adaptive Narrative Engine

Agentic UI compiler rendering adaptive research narratives in real time

Traceable Insight Graphs

Drillable visualization nodes that trace every data point and argument back to its origin

Transparent Reasoning Lineage

Explainability hooks exposing the reasoning lineage behind every output

Continuous Context Memory

Session persistence maintaining context across interactive exploration

Modular Analysis Interface

Composable interface framework integrating live forecasting, benchmarking, and portfolio analysis modules

accuracy

Dynamic Accuracy Engine

A continuous evaluation and optimisation layer that quantifies, improves, and self-corrects analytical performance.

Automated Model Orchestration

AutoML orchestration pipeline spanning XGBoost, Prophet, Transformers, LSTMs, and hybrid ensembles

Continuous Model Retraining

Dynamic retraining framework that continuously re-benchmarks models on live incoming data

Comprehensive Model Scoring

Multi-metric evaluation tracked across models and cases

Thesis-Driven Model Tuning

Thesis-aligned tuning integrating human judgment and fund-specific heuristics

Transparent Accuracy Scores

Explainable accuracy scoring propagated through every analytical layer

enterprise security

Security, Privacy & Data Integrity Layer

A security-first infrastructure. Every component of the stack is built on zero-trust principles and EU-native data governance.

Isolation

Tenant isolation by design — per-fund compute, storage, and agent sandbox

Zero PII architecture

Zero PII architecture with anonymisation at ingestion

Connector-Level Compliance

GDPR compliance at the connector level, not just at output

End-to-End SOC2

SOC 2 Type II certification covering full operational lifecycle

Confidence-Aware Reasoning

Data triangulation and confidence propagation across the reasoning graph

customization

Customisability & Extensibility Layer

An investment platform is a programmable research engine, built purposely to adapt. Every investor operates differently, and the platform’s architecture reflects that.

Fully Customisable Analysis

Every analysis tree, at every node, supports custom instructions and methodological overrides

Investor-Defined Reasoning

Investors can encode fund-specific logic, hypotheses, and quality criteria directly into the reasoning tree

Directive-Guided Workflows

Agents interpret these as structured behavioural directives, guiding tailored research workflows

Unified Custom Integrations

The platform supports custom integrations into proprietary datasets, internal code modules, or external APIs — all orchestrated within the same analytical context

Unlimited Data Ingestion

A universal data integration interface allows users to define new connectors, ingest any data type, and implement custom metric transformations

Deep System Extensibility

Composable code blocks and plugin interfaces enable deep extensibility — from new forecasting algorithms to alternative risk models across the reasoning graph.

enterprise level security

Advanced Capabilities

Advanced Capabilities

We plug into the key raw data sources and standardise them into a uniform format, allowing for faster and deeper evaluation based on immutable transaction data.

We plug into the key raw data sources and standardise them into a uniform format, allowing for faster and deeper evaluation based on immutable transaction data.

Forecasting accuracy

Advanced AutoML infrastructure that automatically evaluates and selects optimal forecasting models, delivering industry-leading prediction accuracy.

Fundamental data quality control

Multi-layered data quality infrastructure ensuring reliability and transparency across the entire analytical pipeline.

Humans in the Loop

Empowering analysts with precise control mechanisms and refinement capabilities while maintaining the efficiency of automated analysis.