WORLD'SFIRSTINTERMEDIATEREASONINGLLM

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The Problem

Today's LLMs Waste Time Thinking First

Most models do all their reasoning before generating any output — burning time, tokens, and money just to prepare a response.

🧠
Think
🗣️
Respond

Why This Fails

Pre-plan everything upfront

Delays before user sees output

Wasted tokens

Linear cost scaling

The Cost

Every token spent on upfront reasoning is a token that could have been used for actual output. This linear scaling makes complex tasks prohibitively expensive.

The Solution

Dhanishtha Doesn't Just Plan — It Thinks Mid-Response

Unlike traditional models that think before they speak, Dhanishtha thinks while it Responds — delivering instant responses and transparent reasoning.

User Prompt

"How can four be half of five?"

Dhanishtha's Response

Think

This is a riddle or puzzle question. The user is asking how four can be half of five, which mathematically doesn't make sense at first glance (4 is not 5/2). I need to think creatively about wordplay, letters, or non-mathematical interpretations that could make this work. This isn't an emotional question, so I won't need the <ser> block.

Response

The answer lies in wordplay rather than mathematics. If you look at the word "five" in English, it has four letters: F-I-V-E. So, the number four (4) represents exactly half of what makes up the word "five" (which has 4 letters). It's not about the numerical value, but using the word itself to create this relationship.

Think

Let me think of another interpretation to provide a more complete answer. There could be other clever ways to interpret this puzzle. Maybe it's about something like Roman numerals, or splitting letters, or even something about the shape of the number 5.

Response

There's also another beautiful way to understand this: in Roman numerals, five is written as V. If you cut this V in half horizontally, you get IV, which equals four in Roman numerals. So literally, four becomes half of five when you split the symbol. This is the magic of riddles - they invite us to think beyond the literal and find connections in unexpected places. Sometimes the most elegant answers come from changing our perspective entirely.

Core Capabilities

Dhanishtha Delivers Breakthrough Performance

Through intelligent reasoning and efficient execution, Dhanishtha-2.0-preview delivers advanced capabilities with optimized performance.

Intermediate Reasoning

Dhanishtha-2.0-preview reasons mid-response unlike traditional approach of reasoning on top and then answering.

Reasons mid response
Response in continuation
Human-like thought loop

Token-Efficient Execution

Avoids redundant reasoning chains. Optimized for performance & cost efficiency at scale.

5x fewer tokens than Deepseek
4x faster inference
Built for scale and cost efficiency
Testimonials

What Our Users Say

Discover how HelpingAI is transforming the way people interact with technology, making conversations more human, empathetic, and effective.

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Dr. Sarah Chen

AI Researcher

"Dhanishtha 2.0's intermediate reasoning is revolutionary. Being able to see the AI think in real-time with <think> tags has transformed how I debug and understand AI decision-making. The transparency is unprecedented in the field."
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Marcus Rodriguez

Software Engineer

"The 60% token savings with Dhanishtha's mid-response reasoning is a game-changer for our production costs. Instead of pre-planning everything, it thinks while responding - making it 3x faster and incredibly efficient."
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Emily Watson

Data Scientist

"What sets Dhanishtha apart is its 98.13 emotional intelligence score. It doesn't just process my queries - it understands the emotional context and adapts its reasoning accordingly. Perfect for complex analytical tasks."
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Alex Thompson

Product Manager

"The hideThink parameter is brilliant! I can toggle between seeing Dhanishtha's reasoning process for debugging or hide it for clean responses. This flexibility has streamlined our entire development workflow."
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Dr. Raj Patel

Clinical Psychologist

"Dhanishtha's ability to reason through emotional contexts in real-time is remarkable. The <think> blocks show genuine empathy processing, making it invaluable for therapeutic applications and emotional support scenarios."
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Lisa Chang

Startup Founder

"From 2B to 15B parameter models, HelpingAI's range covers all our needs. But Dhanishtha 2.0's intermediate reasoning gives us insights into AI decision-making that traditional models simply can't match. It's transparent AI at its finest."
DMEA

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Our Team

Who Are The Minds Behind It?

Meet the passionate innovators dedicated to revolutionizing AI with emotional intelligence and reasoning capabilities.

Abhay Koul

Abhay Koul

Co-Founder & Chief AI Officer

  • 🎓3+ years of experience of building & training custom AI models.
  • 💼Worked with billion dollar ai companies
Varun Gupta

Varun Gupta

Co-Founder & Chief Technology Officer

  • 🎓Ex- Appgud (Tech agency).
  • 💼3+ years of industrial experience of building & scaling startups.
  • 🚀Expertise in different domains business, operation, marketing, strategy
Nishith Jain

Nishith Jain

Co-Founder & Chief Executive Officer

  • 🎓2+ years of experience in building & training custom AI models.
  • 💼3+ years of industrial experience of building & scaling apps, websites in different frameworks.
  • 🚀Moderator of India's largest AI community

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