🎉 Big News! Apta AI raised $2M in Pre Seed→

🎉 Big News! Apta AI raised $2M in Pre Seed→

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Big News!

Apta AI raised $2M in Pre Seed

Domain Specific AI Agents
Real Answers

Built on LLMs. Trained on your data. Designed for Accuracy.

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Some companies our team has worked with

Best in class AI Agents that operate within a dynamic agentic network that delivers swift and accurate responses

All in one broad capabilities designed to increased profitability and reduced errors

Communicate through natural language chat with dynamic response generation

Drive more informed decisions through data informed quick expert responses

Dynamic Agentic Network Architecture is the future of AIDynamic Agentic Network Architecture is the future of AI

AI that can do more than LLMs

By harnessing the power of pre-emptive AI agents that are trained to do multiple complex business processes almost perfectly

Unstructured Text DataCharts & DiagramsNumericalLarge Structured DatabasesMultimodal

Majority of conversational copilots (LLM-based) can only handle this

Tailored AI Solutions

Copilots that derive deep insights.

Unlock the full value from your data through advanced analytics, rather than re-compiling existing knowledge

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Insights resurfaced by conventional copilots

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Deep insights that remain to be derived from data

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Capabilities

AI that can do complex tasks, accurately.

We use agents to execute complex multi-step workflows, so you can use our copilots for more than just text processing and coding

Large Language Models are good at

i.e. writing emails, summarizing documents, correcting grammar

Coding Workflows

Text WorkflowsSatisfied by web searchR.A.Gpython code generator and other agents

Text Workflows

Satisfied by web searchR.A.G

python code generator and other agentsLarge Language Models are good at

i.e. writing emails, summarizing documents, correcting grammar

Coding Workflows

To develop the best AI assistants, we adopt a different approach.

Generalist copilots i.e. GPT-4o try to cater to a broad range of use cases

We build copilots tailored for a particular vertical. That way we unlock a deep-set of AI capabilities.

Process Map

To develop the best AI Assistants

1

Provide high level overview of required scope.

2

Evaluate Apta AI's existing AI agents ready for fine tuning.

3

Determine additional agentic requirements necessary for scope.

4

Provide high level overview of required scope.

5

Patner with apta.

6

3-6 months of build.

Why General-Purpose AI Falls Short

See the difference with your own eyes

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Routes questions to domain specific expert agents built on top of LLMs

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Access enriched, proprietary, or industry-specific data for more accurate outputs

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Can reason through workflows and logic tailored to sectors like education, healthcare, and finance

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Built to deliver insights, not just answers - integrating agents that analyze, compare and act.

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Continuously learns from vertical-specific use cases and feedback loops.

Others

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Responds with a general model trained across broad datasets.

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Limited to publicly trained data or what’s available through prompts.

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Lacks contextual memory and historical task recall unless manually engineered

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Struggles with deep domain logic or workflows outside of standart prompts

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Focuses on response generation rather than insight synthesis

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Broad feedback across unrelated use cases makes optimization harder.

About Us

Who are we?

Founded by a world-class team of PhDs from the University of Cambridge. We have collectively produced >30 AI papers in leading journals and conferences. Our team members have worked at some of the leading institutions in the space including Meta, Amazon Web Services and McKinsey. This wealth of experience places us at the forefront of AI innovation, driving us to deliver best-in-class AI solutions that redefine industry standards.

Book a Demo with Apta Talk to the Team

Some companies our team has worked with

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