AI Native

Hyperbots Co-pilots follow an AI-native approach, prioritizing purpose-built AI models for each use case, ensuring precision and transformative productivity gains of up to 90%.

Key Features

AI-first Co-pilots built for specific finance use cases and automation

AI-first design philosophy

Hyperbots Co-pilots are designed with an AI-first approach, where AI models are developed specifically for each use case before building functionality around them.

Tailored AI for precise, efficient automation in finance workflows

Purpose-built AI for key tasks

AI elements are meticulously crafted to address specific business needs within finance workflows, ensuring precision and efficiency.

Hyperbots Co-pilots deliver up to 90% productivity gains over legacy AI

Transformative productivity gains

Unlike superficial AI layers or patchwork on traditional rules-based systems, Hyperbots Co-pilots achieve transformational productivity improvements of up to 90%, compared to 20-30% from competitors.

Agentic AI powers Hyperbots Co-pilots to automate complex finance tasks

Deep agentic AI for finance tasks

Hyperbots leverages deep agentic AI to tackle complex tasks across finance processes, enabling Co-pilots to deliver results with minimal human touch.

AI-native platform enabling long-term innovation and automation with Hyperbots

Sustainable value through innovation

The AI-native approach positions Hyperbots to deliver long-term value, enabling continuous innovation and deeper automation for evolving customer needs.

Comparison with competition

FAQs: AI Native

What is the difference between AI-native and non-native software for the CFO's office?

Why can traditional applications patched with AI capabilities not deliver the same outcomes as AI-native Co-pilots of Hyperbots?

What is the difference in productivity gains between AI-native and non-native CFO applications?

Which tasks cannot be automated deeply enough by non-native AI applications?

What is the approach difference in innovation and design thinking for AI-native vs. post-facto AI applications?

Why can deep Agentic AI not be developed with non-native AI thinking?

How can you demonstrate the difference between Hyperbots’ AI-native approach and traditional software for the CFO office?

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!