The era of Generative AI is here.
It will permanently change our world and will have a profound impact on humanity.
We are building the world's first agentic operating system to spawn the next generation of super-intelligent, automated workers.
Our research makes fundamental contributions to the field of AI with a big impact to both foundational and applied topics on reducing LLM hallucinations, applying AI on private data domains, automated machine learning, meta-learning, data augmentation and deep learning optimization.
Distill private information to create sparse graph embeddings that capture only the essential aspects, events, actors and interactions.
Overcome LLM context length limitations using recursive retrievals and subgraphs, timeline interactions and shifts in focus.
Full explainability on multi-agent reasoning chains for continuous improvement, fine-tuning, security and regulatory compliance.
Combine the strengths of both human and machine intelligence for collaborative problem-solving on complex tasks.
Answer questions that capture the full semantic context and connections on private data domains.
Increase accuracy on your data domain by fine-tuning models on your specific business products, services and knowledge repository.
Build agents from scratch using a declarative, low-code drag & drop visual editor to model data flow and interactions.
Build generic agents that follow strict guidelines, assume roles in your organization to solve specific problems.
Orchestrate declarative and role-playing agents declaratively or automatically. Organize them in teams, give them tasks and let them solve your problems.
Connect all your data sources and let Surogate understand, structure and distill your knowledge to create its semantic long-term memory.
Simulate your agentic workflows in a sandbox environment before deployment to production. This allows designers to debug and optimize their designs to increase the level of accuracy for achieving the end goal.
Create and use reward models to increase agent behavior and accuracy.
Certain information is more sensitive and needs controlled access. Our semantic memory has security features built in to strictly control who sees what.
Surogate streamlines operations by automating routine and complex tasks, reducing the time and resources required to complete them. This boosts overall productivity, ensuring that projects are completed faster and with fewer errors. Operational efficiency is directly tied to cost management and profitability, making this a critical consideration.
Surogate can lead to significant reductions in labor costs and operational expenses. By automating tasks traditionally performed by humans, organizations can reduce their workforce or reallocate employees to higher-value tasks, thus optimizing payroll expenses. Additionally, AI reduces the likelihood of costly errors and the resultant financial implications.
Organizations can scale operations without proportionally increasing their headcount. This is particularly beneficial for businesses in growth phases or those facing variable demand. AI's ability to scale up or down quickly in response to business needs is a powerful advantage in today's fast-paced market environment.
Surogate can process vast amounts of data to provide actionable insights. This capability supports better business decisions by providing comprehensive analytics, predictive modeling, and detailed performance metrics. Having access to precise and timely data is invaluable for strategic planning and risk management.
AI agents are ideally suited to handle tasks that are structured and rule-based, such as data entry, scheduling, and basic customer inquiries. As these tools become more sophisticated, they can take on increasingly complex tasks, potentially replacing jobs that do not require high levels of human judgment or emotional intelligence.
In roles where precision is key, such as data processing or accounting, AI can often perform tasks with greater accuracy than humans. Reducing errors not only improves operational efficiency but also minimizes the risk and cost associated with mistakes.
AI agents can take over repetitive and mundane tasks, freeing up employees to engage in more complex and intellectually stimulating activities. This shift not only boosts job satisfaction but also allows employees to focus on areas where human insight is invaluable, such as strategic planning, creative tasks, and high-level decision-making.
By analyzing performance data, the platform can offer personalized training recommendations and insights, helping employees to continually develop their skills and stay competitive in their fields.
AI agents can facilitate better communication and collaboration within teams by managing workflows and ensuring that tasks are completed on time. They can also help identify the best team member for a particular task based on their past performance, skills, and current workload, thus optimizing team dynamics.
Agents can provide employees with real-time feedback on their work, helping them adjust their approach more swiftly than traditional review processes allow. This immediate support can enhance learning and adaptation on the job, leading to a more efficient and effective workforce.
We don't have a release date yet, but stay tuned.
In the coming months we'll start to open-source select in-house technologies that help us build Surogate, publish research papers, and announce development milestones.
AI will have a transformational impact for individuals and businesses. It will change how we live, study, work, drive, socialize, eat, cook, exercise, and have fun.
While AI can enhance and replace aspects of work, it also raises important considerations about workforce displacement and the ethical use of technology. Companies adopting such technologies need to consider the broader impact on their employees and the community, including retraining programs and strategies to manage transitions for those whose roles may be affected.
Overall, the strategic integration of AI can lead to a more dynamic, skilled, and efficient workforce, albeit one that may look very different from today's standards. As technology evolves, the focus should ideally remain on leveraging AI to enhance human capabilities and manage transitions thoughtfully and responsibly.
