Self Learning Capabilities

Hyperbots Co-pilots leverage self-learning to adapt to company-specific workflows, refine accuracy through inference-time learning, and improve over time based on human interactions.

Key Features

Co-pilots adapt to company workflows by learning from human decisions

Automated adaptation to company-specific processes

Co-pilots continuously learn from human decisions and adapt to the unique workflows, preferences, and policies of each company.

GL Agent refines code suggestions using self-learning and human input

Enhanced GL code recommendations

The GL Recommendation Agent leverages self-learning to refine GL code assignments based on company-specific patterns and human overrides.

Inference-time learning refines AI models to meet organizational needs

Continuous improvement in accuracy

Wherever needed, pre-trained models are refined through inference-time learning to enhance performance and meet specific organizational requirements.

Co-pilots apply trusted changes after learning from repeated human actions

Incremental confidence building

The Co-pilots apply self-learned changes only after building confidence through repeated human actions, ensuring trust and reliability.

Self-learning Co-pilots adapt to evolving policies and business practices

Dynamic adaptability across processes

The self-learning capability is applicable across various Co-pilot functions, making them dynamically adaptable to changing company policies and practices.

Comparison with competition

FAQs: Self Learning Capabilities

Can you give examples of self-learning capabilities of Hyperbots Co-pilots?

Why is self-learning important?

If your Co-pilots are pre-trained, why do they require self-learning?

How are Hyperbots' self-learning capabilities different from those of competitors?

How do you make sure that your Co-pilots do not learn bad practices?

Is self-learning company-specific? How do you ensure that my data is not used for general training?

How do Co-pilots build confidence in the data they learn from?

At what point does self-learning stop?

Why Hyperbots Agentic AI Platform?

Why choose hyperbots agentic AI: finance-first, accurate, adaptable AI

Finance specific

Best-in-class accuracy

Synthesis of unstructured and strutured finance data

Pre-trained agents with state of the art models

Company specific inference time learning

Designed by CFOs for CFOs

We worked with several CFOs to solve the right problems.

Hear what they have to say!

Designed by CFOs for CFOs

We worked with several CFOs to solve the right problems.

Hear what they have to say!

Ready to take the next steps?

Book a demo with one of our Financial Technology Consultants to get started!

Ready to take the next steps?

Book a demo with one of our Financial Technology Consultants to get started!