dmodel

About dmodel

dmodel provides real-time insights into large language models (LLMs), allowing companies to adjust AI responses for accuracy and brand alignment without the need for retraining. This capability enhances customer service efficiency by enabling precise control over AI interactions.

<problem> Companies using large language models (LLMs) often struggle to control the accuracy and brand alignment of AI-generated responses. Adjusting these responses typically requires costly and time-consuming retraining of the models. This lack of real-time control can lead to inconsistencies and inaccuracies in AI interactions. </problem> <solution> dmodel offers a platform that provides real-time insights into the inner workings of LLMs, enabling companies to manipulate and adjust AI responses without retraining. This allows for precise control over AI interactions, ensuring accuracy and brand alignment. By providing the ability to "look inside the mind" of an LLM, dmodel empowers businesses to fine-tune AI behavior on the fly, optimizing customer service and other AI-driven applications. </solution> <features> - Real-time insights into LLM decision-making processes - Ability to manipulate AI responses without retraining - Rapid adjustment of AI behavior for accuracy and brand alignment </features> <target_audience> dmodel's primary customers are companies using LLMs in customer service, marketing, and other applications where precise control over AI interactions is critical. </target_audience>

What does dmodel do?

dmodel provides real-time insights into large language models (LLMs), allowing companies to adjust AI responses for accuracy and brand alignment without the need for retraining. This capability enhances customer service efficiency by enabling precise control over AI interactions.

Where is dmodel located?

dmodel is based in San Francisco, United States.

When was dmodel founded?

dmodel was founded in 2024.

How much funding has dmodel raised?

dmodel has raised 500000.

Who founded dmodel?

dmodel was founded by Daniel Moon.

  • Daniel Moon - Founder
Location
San Francisco, United States
Founded
2024
Funding
500000
Employees
5 employees
Major Investors
Y Combinator
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dmodel

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

dmodel provides real-time insights into large language models (LLMs), allowing companies to adjust AI responses for accuracy and brand alignment without the need for retraining. This capability enhances customer service efficiency by enabling precise control over AI interactions.

dmodel.ai50+
cb
Crunchbase
Founded 2024 – San Francisco, United States

Funding

$

Estimated Funding

$500K+

Major Investors

Y Combinator

Team (5+)

Daniel Moon

Founder

Company Description

Problem

Companies using large language models (LLMs) often struggle to control the accuracy and brand alignment of AI-generated responses. Adjusting these responses typically requires costly and time-consuming retraining of the models. This lack of real-time control can lead to inconsistencies and inaccuracies in AI interactions.

Solution

dmodel offers a platform that provides real-time insights into the inner workings of LLMs, enabling companies to manipulate and adjust AI responses without retraining. This allows for precise control over AI interactions, ensuring accuracy and brand alignment. By providing the ability to "look inside the mind" of an LLM, dmodel empowers businesses to fine-tune AI behavior on the fly, optimizing customer service and other AI-driven applications.

Features

Real-time insights into LLM decision-making processes

Ability to manipulate AI responses without retraining

Rapid adjustment of AI behavior for accuracy and brand alignment

Target Audience

dmodel's primary customers are companies using LLMs in customer service, marketing, and other applications where precise control over AI interactions is critical.

dmodel - Funding: $500K+ | StartupSeeker