Technologies

Technologies

Technologies

Driving AI Adoption:

Let Aistra do the hard work!

Driving AI Adoption:

Let Aistra do the hard work!

Driving AI Adoption:

Let Aistra do the hard work!

AI for Enterprises is still in its early phase

These days everyone is talking about the strides made by AI. Yet, a majority of enterprises have not been able to adopt AI at scale. The business value unlocked through AI is materially below its potential.

When real money, real deliverables, and real reputations are at stake in the business world, who would want to be seen as falling short on delivering the potential of the hottest technology in today’s world of business? But, GenAI is still known to be “prone to mistakes”. We get it and making AI solutions industrial grade is a challenge Aistra is accepting enthusiastically.


As an important first step, we have developed a range of foundation technologies and platforms in our targeted business areas for enterprises: simple, designed-for-purpose, economical, with minimal errors, and above all responsible.

It’s hard work. And Aistra is doing it

Building Enterprise-Grade Products with three core principles:

Building Enterprise-Grade Products with
three core principles:

1

3-in-a-Box

Bringing the right expert skills working together in 3-in-a-Box Development labs. Also, co-developing with Industry client partners - for real use-cases

Bringing the right expert skills working together in 3-in-a-Box Development labs. Also, co-developing with Industry client partners - for real use-cases

2

Hybrid Tech

Applying hybrid orchestration with prompt based Generative AI development and code-based logic/algorithms. Bringing the right approach to customize handling of conversational  and rule-based interactions - RAG, Custom LLMs, SLMs and standard programming

Applying hybrid orchestration with prompt based Generative AI development and code-based logic/algorithms. Bringing the right approach to customize handling of conversational  and rule-based interactions - RAG, Custom LLMs, SLMs and standard programming

3

AI-Enhanced Workforce

Bringing the right Agent, whether AI or human, to get the best mix of efficiency and effectiveness.

Bringing the right Agent, whether AI or human, to get the best mix of efficiency and effectiveness.

Hybrid Orchestration for Conversational AI Bots

GenAI agents are incredibly fast and amazing. They are transforming industries, advancing capabilities. But they are not flawless. They can sometimes hallucinate, miss critical steps, and produce ineffective unpredictable outputs. We’ve all been there.

At DeepTalk, our Customer Care business, we address these challenges with our distinctive "Hybrid Orchestration" approach.

DeepTalk Hybrid Orchestrator shares the work steps between GenAI and robust code-based logic. GenAI brings AI capabilities with human-like responses, while our code-based logic ensures strict adherence to workflows. This balanced approach allows us to deliver intelligent, conversational and reliable outcomes. This is how we Make AI work

At DeepTalk, our Customer Care business, we address these challenges with our distinctive "Hybrid Orchestration" approach.

DeepTalk Hybrid Orchestrator shares the work steps between GenAI and robust code-based logic. GenAI brings AI capabilities with human-like responses, while our code-based logic ensures strict adherence to workflows. This balanced approach allows us to deliver intelligent, conversational and reliable outcomes. This is how we Make AI work

Reducing Errors in Financial Reconciliation

Financial reconciliation is an extremely important part of accounting efforts. While some of the data is available in a tabular format, its validation has to be done with numbers interspersed in long-form content. Accounts in order forms parse through thousands of lines of 8K and 10K filings to reconcile numbers.

Aistra’s domain-specific content-aware tools are trained to identify numbers across a myriad of nomenclature variations and correlate. Our human validation approach then ensures these insights are captured for future training of the AI.

307 Seventh Avenue Suite 1601, New York, NY 10001.

307 Seventh Avenue Suite 1601, New York, NY 10001.

307 Seventh Avenue Suite 1601, New York, NY 10001.

307 Seventh Avenue Suite 1601, New York, NY 10001.