ENTER PLATFORM

Accelerating Capital.
Securing the Future.

The AI-native platform to identify the companies building a more resilient world.

PRODUCT deck - q3, 2026

The Problem

Exploding energy demand and consumption from AI, electrification, and a growing global middle class create an urgent need to produce more forms of affordable, reliable, and clean energy and upgrade outdated grids. Geopolitical upheaval is reshaping supply chains and putting a premium on resource resilience and energy security. 2024 was the hottest on record and the first to exceed 1.5°C of warming on average, and climate change costs the world 12% in gross domestic product (GDP) losses for every 1°C of warming.

These challenges demand scalable solutions and capital allocators have begun to accelerate institutional capital deployment. Our technology platform helps clients accelerate deployment by converting technical insights into real-world opportunities, creating dynamic, promising feedback loops that drive return on investment and build a more resilient economy.

Why Capital Markets Matters

01

Investment Opportunity

A once-in-a-generation opportunity to shape energy, security, and industrial systems.

02

Industrial Transformation

Transformation of core industrial systems—worth trillions of dollars—that underpin the global economy such as energy, manufacturing, and infrastructure are being rebuilt and driving long-term prosperity.

03

Technology Gap

Capital allocators with legacy tools struggle to handle the complexity and scale required for linking economic resilience, climate transition, and national security.

The Solution

Based on client and investor feedback from tier-1 institutions, our technology platform addresses four critical pain points that prevent investors from efficiently deploying capital into the broader resiliency super-cycle.

1

Financial Intelligence

Deep analysis of companies' financial health, performance metrics, and competitive market positioning through AI-powered research workflows

2

Thematic Research Intelligence

Comprehensive evaluation of global macro-resiliency, including decarbonization trajectories, transition pathways, supply chain on shoring, and strategic defense

3

Data Integration

Seamless connection with third-party vendors and data sources, processing both structured data (financial statements) and unstructured data (reports, PDFs, news)

4

Automated & Agentic Workflows

Deploy AI agents to automate research tasks: company comparisons, report generation, portfolio monitoring, and real-time tracking of resilience, climate, financial metrics

Investment Requirements

The global economy is undergoing a multi-trillion-dollar structural super-cycle. Clients require technology solutions that help them find companies driving alpha generation across interrelated investments.

Pillar 1

Energy Independence &
Climate Transition

Pillar 2

Resilient Supply Chains &
Advanced Manufacturing

Pillar 3

Strategic Defense &
Aerospace

Pillar 4

Frontier & Strategic
Technologies

The Intelligence Layer for the Resilience Economy:
Model-Agnostic Agentic Engine

OpenAI

Anthropic
Claude

Google
Gemini

Grok

ResilienceAI
Intelligence Router

Omni-Model
Intelligence Routing

dynamically assigns tasks to
the best-suited model.

MCP
Integration

securely connects models to
Bloomberg, climate databases, patent
registries, supply chain manifests.

Multi-Agent
Workflows

Diligence Agent triggers financial
modeling agent triggers climate
risk agent concurrently.

API-First
Extensibility

integrates into proprietary
CRM, ERP, and portfolio
management tools.

ResilienceAI: Core Applications

The ResilienceAI platform offers six specialized applications, each designed to enhance specific aspects of institutional investment workflows, from research and data management to risk assessment and due diligence.

Research Application

A multi-modal intelligence engine that automates the ingestion, analysis, and visualization of complex financial and economic resilience data.

Innovation: Utilizes an advanced Retrieval-Augmented Generation (RAG) architecture to securely ground large language model outputs in real-time market data, regulatory filings, and uploaded proprietary documents.

Value: Accelerates the capital allocation process by providing deeply grounded, highly accurate insights, empowering analysts to make high-conviction decisions faster.

Data Application

An advanced workspace to extract, structure, and manipulate complex quantitative datasets from varying sources.

Innovation: Employs sophisticated parsing technology to seamlessly convert unstructured or semi-structured data (like PDFs, Excel sheets, and vendor APIs) into standardized, queryable data formats.

Value: Eliminates manual data entry and formatting workflows, freeing up institutional investors to focus entirely on high-leverage quantitative modeling and financial evaluation.

News Application

A real-time market intelligence engine designed to filter out the noise of the general media and deliver high-signal, resilient-specific insights.

Innovation: Leverages a live-grounded RAG approach connected directly to global news services, ensuring continuous data freshness and pinpoint accuracy.

Value: Keeps investment professionals ahead of the market by surfacing actionable, up-to-the-minute developments that are critical for active portfolio risk management.

Spatial Application

A geospatial risk assessment engine capable of mapping and auditing physical risks and conducting climate scenarios for specific locations (e.g., factories, data centers, and ports).

Innovation: Translates complex, forward-looking climate model data into precise, asset-level financial risk metrics under a variety of future climate scenarios.

Value: Enables institutional investors and real asset managers to accurately price physical climate risks, safeguarding tangible asset portfolios and optimizing resilience planning.

Due Diligence Application

A specialized, automated workspace to evaluate potential investments against core structural themes (e.g., Climate Transition, Resilient Supply Chains, Strategic Defense).

Innovation: Synthesizes insights across disparate data sources to auto-generate comprehensive due diligence reports, risk models, and Investment Committee (IC) memos.

Value: Drastically compresses the time required to complete rigorous due diligence cycles while elevating the consistency and quality of institutional analysis.

Agents Application

A specialized orchestration module designed to automate complex, multi-step investment research workflows.

Innovation: Deploys a robust multi-agent architecture, coordinating swarms of specialized AI agents to autonomously gather data, reason through analytical frameworks, and synthesize findings.

Value: Acts as an ultimate force multiplier for research teams, allowing the platform to run autonomous research tasks at scale and vastly expand the firm's overall analytical bandwidth.

Agentic Intelligence Pipeline

From raw data to investor-ready insight – fully automated

EVIDENCE

ANALYSIS

COMPOSE

Ingest real-time data from Bloomberg, SEC filings, registries, news feeds, supply chain manifests & internal portfolio/user data

Parse, normalize & structure raw data – financial statements, climate disclosures, patent filings

Cross-validate signals across sources; flag anomalies, conflicts & data quality issues

Run AI-powered simulations: climate risk scoring, financial modeling, competitive benchmarking

Auto-generate investor-grade reports, memos & portfolio monitoring dashboards

Platform Partnerships & Integration

ResilienceAI will strategically integrate its core intelligence into leading AI platforms like Anthropic, and partner with specialized data providers to deliver unparalleled, trusted financial insights directly within investor workflows.

ResilienceAI Integration

Our proprietary intelligence seamlessly embeds into frontier AI ecosystems.

Anthropic Plugin Architecture

Leveraging Anthropic's robust plugin framework for secure and efficient data exchange.

Data Partner Ecosystem

Accessing specialized, institutional-grade data and domain expertise via partner plugins.

Enhanced Finance Workflows

Integrating trusted, proprietary data directly into Claude's context for finance professionals.

Integration Without Disruption

ResilienceAI meets your team where they work — from standalone platform to embedded intelligence in existing workflows

Recommended for new teams

Full-Featured UI

A complete, standalone platform experience. Purpose-built for investment analysts, risk teams, and portfolio managers who want the full ResilienceAI workflow out of the box.

For existing workflows

MCP Integration

Connect ResilienceAI directly into your existing tools via Model Context Protocol. Surface intelligence inside Bloomberg Terminal, Notion, Slack, or any MCP-compatible environment.

For AI-native teams

Agentic Skill

Deploy ResilienceAI as a callable skill within your own agentic pipelines. Let your AI orchestration layer invoke our analysis engine as a specialized tool — on demand, at scale.

All integration modes share the same underlying intelligence engine — same models, same data, same Unified Resilience Score.

Privacy From the Core

A vertically integrated platform built for institutions that cannot compromise on data sovereignty

Cloud-Hosted, Isolated Tenancy

Today: each client operates in a fully isolated environment. No data co-mingling. No shared inference. Your data never trains our models.

Private Cloud Deployment

Near-term: deploy the full ResilienceAI stack inside your own cloud VPC — AWS, Azure, or GCP. You control the keys, the logs, and the egress.

On-Premise & Air-Gapped

Roadmap: full on-premise deployment for sovereign wealth funds, regulated institutions, and defense-adjacent allocators requiring complete network isolation.

Proprietary LLM Models

Endgame: purpose-built ResilienceAI foundation models — trained on financial, climate, and resilience data — served entirely from your private instance. Zero dependency on third-party model providers.

Zero

Third-party data exposure

100%

Audit trail & explainability

Full

Model & infrastructure ownership — on your timeline

Built for institutions where data is the moat. ResilienceAI's vertical integration roadmap ensures your intelligence advantage stays yours.

Product Demo

Product Advantage

ResilienceAI stands apart in a crowded market by integrating AI-native architecture with deep economic resilience and climate expertise, addressing a critical gap in institutional investing.

Key Differentiation Factors: Where ResilienceAI Wins

AI-Native Architecture

AI-native architecture is cheaper and faster to scale than retrofitting legacy systems.

Finance Integration

Seamlessly combines climate risk with financial analysis for comprehensive insights.

Automated Workflows

AI agents handle complex research tasks end-to-end, boosting efficiency.

Real-time Processing

Live data integration provides up-to-date information versus static reports.

Cost Efficiency

Delivers powerful capabilities at a fraction of Bloomberg/Refinitiv costs.

Institutional Investor Focus

Purpose-built for asset managers, providing tailored tools versus generic solutions.

Competitive Advantages

First-Mover Advantage

Leading the charge in AI-powered climate finance solutions.

Deep Relationships

Strong institutional connections and extensive domain expertise.

Proprietary AI Models

Advanced AI models trained on specialized climate-finance datasets.

Defensible Moat

Strengthened by network effects and a data flywheel for continuous improvement.

Founder Market Fit

Todd Arthur Bridges, Ph.D.
Co-Founder & CEO

Dr. Bridges has a deep passion for building products, technology, and startups that create sustainable economic growth, generate sustainable return on investment (SROI), and help businesses and markets solve the world’s biggest challenges. He has built innovative solutions in the technology and financial services industries. His experience within industry has given him the opportunity to develop global strategies, fundraise (Seed to Series B) across the private capital markets, convert complex ideas into products (Zero to One), build innovative product roadmaps, build high-performing global teams, and advise clients on climate solutions. He enjoys working with public and private investors to build solutions which drive sustainable economic growth, develop innovative AI product solutions, and accelerate their return on investment and the net-zero transition.

Track Record

  • Designed, built, and scaled solutions for State Street, Allianz Group, Goldman Sachs, JP Morgan, Bloomberg, Bridgewater, DWS, and BNY Mellon
  • Worked with multiple CEOs and founding teams at early-stage technology startups to secure venture capital funding (Seed to Series B)
  • Built climate products and platforms (Zero to One) for institutional clients

Product Expertise

Extensive expertise in asset management, climate finance, climate investing, applied research, data & analytics, applied artificial intelligence, and investment workflows

Industry Network

Direct relationships with decision-makers at global asset managers, asset owners, investment banks, and multilateral development banks

Startup Experience

Multiple successful fundraises and product launches

Founder Market Fit

Marcin Mierzejewski

Co-Founder & CTO


Marcin led Google engineering teams that developed a foundational distributed data storage system used across many Google services, including Ads, BigQuery, DeepMind, Maps, Search, and YouTube, to manage exabytes of data and process millions of requests per second.

As an engineering director, he also built and managed the largest Cloud Networking engineering site outside the United States, leading teams responsible for the Google Cloud Console (Networking) and Network Intelligence Center, covering network observability, monitoring, and troubleshooting.

Earlier in his career at Fujitsu, Marcin pioneered AI/ML innovation by developing a first-of-its-kind distributed workflow platform that automated model evaluation for high-stakes applications, including drug discovery and financial credit scoring.

Prior to Google, Marcin was CTO of multiple technology startups.

Track Record

  • Designed, built, and scaled solutions for Google, Google Cloud Platform, OpenX, Fujitsu, and Motorola
  • Worked across engineering site within US, Poland, and global locations to develop cloud-based platforms, enterprise software, and integrate cutting-edge LLMs and ML pipelines
  • Built products, platforms, and engineering teams for Fortune 100 companies

Product Expertise

Extensive expertise in Google Cloud Platform (GCP), artificial intelligence, large language models, distributed systems, storage, infrastructure, security, and compliance

Industry Network

Direct relationships with engineering leadership at top technology companies

Startup Experience

Helped over 10 startups build their MVP as a Founding Engineer and served as CTO for two successful startups