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ExTrac

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About

ExTrac is an advanced intelligence platform designed to help organizations navigate the complexities of global events and emerging risks. It functions by synthesizing three core elements: high-quality curated data, human expertise, and a domain-specific agentic AI known as Co-Analyst. The platform aims to cut through the digital noise of modern information environments, providing users with a streamlined path from raw data input to actionable intelligence. It supports a wide array of monitoring activities, including tracking geopolitical tension, conflict, crime, and brand reputation, ensuring that decision-makers stay informed about critical developments. The system operates through an integrated ecosystem consisting of a web application, a mobile app, and the specialized Co-Analyst AI agent. Users can leverage ExTrac’s own structured, hard-to-access data or securely upload their own proprietary datasets. Co-Analyst acts as a digital investigator that can retrieve data, surface insights, and generate complex visualizations or reports based on natural language instructions. The web app is designed for deep dives with auditable data and features like communications mapping and topic modeling, while the mobile app provides real-time alerts and a chat interface for rapid queries on the go. This tool is primarily built for professionals in high-stakes sectors such as defense, security, financial services, and insurance. It is particularly effective for force protection, operational planning, and monitoring market-moving geopolitical shifts. Additionally, law enforcement agencies use it to map threat networks and track disinformation, while tech platforms utilize it for proactive content moderation to safeguard users. The platform’s design priorities ease of use, aiming to eliminate lengthy onboarding processes so that analysts and executive-level leaders can focus on strategic outcomes rather than technical hurdles. What sets ExTrac apart is its human-in-the-loop approach to artificial intelligence. Unlike generic large language models, its AI is domain-specific and reinforced by the knowledge of subject matter experts who ensure the underlying data remains clean, relevant, and accurate. The platform focuses on being proactive rather than just reactive, offering predictive insights into what might happen next rather than just documenting past events. This combination of curated vertical data and agentic execution allows for a level of precision and speed that is difficult to achieve with general-purpose analysis tools or manual research methods.

Pros & Cons

Combines domain-specific AI with human expert oversight for higher data quality.

Offers both a web interface for deep analysis and a mobile app for portable insights.

Supports the integration of private user datasets within a secure environment.

Provides proactive insights into emerging risks rather than just historical data.

Curates hard-to-access data sources that are pre-cleaned and structured for immediate use.

Pricing is not transparent and requires direct contact for a quote.

Access is restricted and granted only on a case-by-case basis.

No free tier or trial period is publicly advertised on the website.

Use Cases

Defense analysts can use the platform to enhance force protection and situational awareness during operational planning in fast-moving security contexts.

Financial risk officers can monitor real-time geopolitical shifts and regulatory risks to stay ahead of market-moving events and manage compliance.

Law enforcement officials can map threat networks and identify early indicators of public safety risks to speed up response times.

Tech platform moderators can detect harmful or violative content before it gains traction to safeguard users and maintain brand integrity.

Insurance underwriters can assess complex risks like armed conflict or climate volatility to better inform exposure models and early warning systems.

Platform
Web
Task
intelligence gathering

Features

topic modeling

automated reporting

proprietary data integration

real-time mobile alerts

interactive geospatial maps

communications mapping

curated data sourcing

agentic ai (co-analyst)

FAQs

What is Co-Analyst?

Co-Analyst is a domain-specific, agentic AI designed to navigate the ExTrac ecosystem on behalf of the user. It can retrieve specific data, perform complex investigations, and generate visualizations or reports based on direct natural language instructions.

Can I use my own data with ExTrac?

Yes, the platform provides a secure environment where users can upload their own proprietary datasets. This data can be analyzed independently or combined with ExTrac’s curated data for more comprehensive and personalized insights.

How is ExTrac accessed?

The platform is available through a web application for deep analysis and a mobile app for real-time alerts and on-the-go chat. Access is granted via individual subscriptions on a case-by-case basis.

What industries benefit most from this tool?

ExTrac is tailored for defense and security, financial services, insurance, corporate risk, law enforcement, and tech platforms. It specializes in tracking geopolitical shifts, conflict, crime, and public safety risks.

Is training required to use the platform?

The platform is designed to be intuitive from day one with the goal of hiding complexity by default. It aims to provide a fast learning curve so decision-makers can focus on insights rather than tool management.

Pricing Plans

Custom Subscription
Unknown Price

Co-Analyst AI Access

Curated Data Feeds

Web Application

Mobile App Access

Proprietary Data Integration

Bespoke Reporting

Real-time Alerts

Geospatial Mapping

Topic Modeling

Communications Mapping

Job Opportunities

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ExTrac

Lead Software Engineer

Anticipate global risks and identify strategic opportunities by combining curated data with agentic AI to deliver expert-level insights at machine speed.

engineeringhybridLondon, GB
£90k - £115k
full-time

Benefits:

  • Annual individual learning and development budget of £500

  • 33 days of annual leave

  • Sabbatical leave offer

  • Generous private healthcare package

  • Cycle to work scheme

Experience Requirements:

  • Minimum of 7+ years of experience in software engineering

  • Strong track record of leading engineering teams or projects

  • Expert proficiency in Python or Go

  • Experience in architecting and building scalable systems

  • Extensive experience with cloud platforms (e.g., AWS, Azure)

Other Requirements:

  • Experience with Docker and Kubernetes

  • Expertise in data pipelines, APIs, and microservices

  • Knowledge of relational and non-relational databases

  • Proficiency in TDD, version control, and CI/CD

  • Excellent collaboration and leadership skills

Responsibilities:

  • Lead architecture, design, and development of software systems

  • Collaborate with leadership and cross-functional teams

  • Troubleshoot and resolve complex technical issues

  • Set and enforce high standards of code quality

  • Mentor and guide the engineering team

Show more details

Technical Executive Associate to the CTO

Anticipate global risks and identify strategic opportunities by combining curated data with agentic AI to deliver expert-level insights at machine speed.

Benefits:

  • Annual individual learning and development budget of £500

  • 33 days of annual leave

  • Sabbatical leave offer

  • Generous private healthcare package

  • Cycle to work scheme

Education Requirements:

  • Background in technology, computer science, or engineering organisations (desirable)

Experience Requirements:

  • Proven experience (5+ years) supporting C-level technology executives

  • Strong technical fluency (SDLC, Agile/Scrum)

  • Proficiency in Google Workspace, Slack, Notion, and Linear

  • Track record of handling sensitive information with discretion

  • Proficiency with AI productivity tools (desirable)

Other Requirements:

  • Exceptional calendar and stakeholder management

  • Outstanding written and verbal communication

  • Experience with data visualisation tools or dashboards

  • Experience coordinating board meetings or investor relations

Responsibilities:

  • Manage the CTO's calendar and external communication

  • Prepare briefing materials for board meetings and technical reviews

  • Own developer experience (DevX) initiatives and documentation

  • Coordinate cross-functional projects and report on progress

  • Create dashboards and reports to surface KPIs and metrics

Show more details

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