ImpactMap - Where impact matters

Scale impact where it matters most.

ImpactMap guides impact leaders through systemic barriers to drive verified progress of the UN SDGs and scale technology solutions with human-centered AI.

Map your data to create impact.

Map your impact goals to real-world data and cut 80% of your costs and dependencies across your tech stack to focus decisions on what matters to your community.

Cloud-Based AI and ML

Leverage machine learning and agentic AI capabilities via your own trusted and private cloud without any need to invest in your own ML infrastructure.

Scalability and Flexibility

Whether it’s managing increasing volumes of real-world data or expanding the complexity of workflows, ImpactMap’s orchestration plaform is designed to orchestrate scaling efficiently as your community’s needs scale.

Pre-Built and Customizable

Pre-built industry blueprints and workflow template libraries for sectors like healthcare and education with the ability to customize and integrate with your workflows and existing tech stack.

Security, Governance, and Compliance

Your own dedicated ML network handles sensitive real-world data securely and dynamically ensures compliance with industry standards and regulations defined in your impact maps.

No Need for Complex Fine-Tuning

Eliminate the need for extensive and complex fine-tuning of pre-trained models and reduce the complexity of setting up infrastructure like knowledge graphs or RAG flows.

Bring trusted AI-driven solutions to reality for your communities at the speed of light.

Preserving human-centric privacy and context of digital interactions at the speed of light is our focus so that building for and serving the community can be yours.

Adopt a Secure Language Model Service Edge for critical applications.

ImpactMap introduces SLMSE (Secure Language Model Service Edge), a groundbreaking solution that enables pre-trained AI models to securely access and interact with the context of verified sensitive data within critical infrastructures without exposing any of the data or backend services.

Use Cases

We are currently in private beta and invite any businesses who may be interested in developing their use case with our SLMSE solution or may be ready to start learning more about MLaaS (Machine Learning as a Service) and how it can benefit or address bottlenecks in getting their existing solutions to market.

Health
Finance
Education
Retail

Create context-aware APIs to integrate patient care workflows with third-party health apps or AI applications, enabling real-time access to long-form medical session memory with precision and facilitating seamless care coordination supported by knowledge of medical artifacts without uploading EHR to the cloud.

Leverage context-aware transaction data from trusted partners to train machine learning models for fraud detection without violating privacy and human rights, identifying suspicious patterns and reducing financial losses.

Integrate context-aware and real-time student performance data into metaverse-based learning platforms, personalizing virtual learning experiences based on individual progress.

Deploy context-aware AI to analyze customer purchase data and generate insights on buying patterns, enabling targeted marketing campaigns and inventory optimization. These insights drive sales and improve operational efficiency by aligning inventory with customer preferences.