Generate safe government data at scale
Unlock limitless possibilities
Generate Safe Synthetic Data for Analytics, ML, and Software Development.
- Safe Analytics
Utilize privacy-first synthetic data to conduct Safe analytics within federal agencies, ensuring that sensitive and classified information remains protected.
- Data-Driven Decisions
Make informed decisions and enhance strategic planning without exposing actual data to potential vulnerabilities or breaches.
- Private Sector Collaboration
Harness the power of privacy-first synthetic data to safely share anonymized information with external research partners or contractors.
- Software Development
Unlock data access for non-production environments increasing development cycles and productivity while eliminating sensitive data exposure.
Synthesize Training Data for LLMs and Conversational AI
- Enhanced Language Models for Intelligence Analysis
Train large language models (LLMs) using synthetic data to provide enhanced assistance in analyzing and interpreting vast amounts of unstructured data, deriving actionable insights securely without utilizing sensitive or classified information.
- LLM-Powered Public Services
Deliver cutting-edge government services through LLMs, guaranteeing that citizens receive the highest quality of care and support from Government applications.
Boost Model Robustness with Synthetic Data
- AI readiness
Implement AI with safe, high-quality training data across public and private sectors to improve prediction models for both known and unknown threats
- Government Operation
Improve model robustness across mission critical mandates: from natural disasters and threat models to fraud detection and more.
Data challenges in Government
- Safeguarding government data
Multiple data classifications, personnel clearance levels, and classified networks present significant challenges for government data sharing.
- Multiple secure clouds
Government clouds are complex with multiple cleared and uncleared environments and rules for cross-environment data transfer.
- AI readiness
With a global race for AI dominance, governments need to rapidly build AI training datasets to maintain tactical advantage.
Driving Government innovation with synthetic data
Synthetic data accelerates government innovation and collaboration while protecting citizen and national privacy. By generating artificial records that contain critical insights without exposing any actual sensitive information, synthetic data removes privacy risks.
This allows civil and defense agencies to rapidly share datasets across departments, cloud environments, classified networks, clearance levels, and with external partners. Governments also leverage synthetic data to augment their existing AI training datasets and anonymize sensitive insights in order to accelerate the adoption of AI applications.
Why synthetic data?
- Quality government data at scale
Backed by multiple generative AI models and proven across government agencies, scale your data without compromising on quality or privacy.
- Mitigate risks
Backed by differential privacy—complete with mathematical guarantees, ensure safe data sharing across classified networks, clearance-levels, and partners.
- Power mission-critical applications
Synthetic data makes sensitive data assets safe and better so agencies can quickly operationalize data for mission-critical outcomes.