January 12, 20255 min read

What is AIGENCY?

What is AIGENCY?

AIGENCY is a multidisciplinary artificial intelligence platform offering customized solutions tailored to user needs across a wide range of fields such as law, healthcare, education, academic consulting, research, and software development. The system aims to provide an integrated service infrastructure through AI-powered assistants.

At its core, AIGENCY relies on the LLAMA3 language model developed by META, featuring 70 billion parameters, combined with a Turkish language model developed by our company with a capacity of 75 billion parameters. This hybrid integration delivers a multilingual and deep learning-based language processing infrastructure. Post-launch updates have expanded AIGENCY’s parameter capacity to 210 billion, significantly enhancing its accuracy, contextual understanding, and information extraction capabilities.

One of AIGENCY’s key innovations is its integrated voice cloning technology. With just seven seconds of audio data, users can model their voice or another person’s voice. The cloned voice can be integrated into AI assistants on the platform, enriching both natural language processing and auditory user experience.

Applications of AIGENCY

By combining advanced natural language processing (NLP) and AI technologies, AIGENCY provides customized solutions across various disciplines like law, healthcare, education, consulting, and software development. Its AI assistants are designed to perform specific tasks quickly and efficiently. Let’s explore the application areas in detail:

Healthcare (Altay Assistant)

The Altay assistant is designed for medical data analysis and can interpret complex outputs like lab results, tomography reports, and biopsy analyses.

Examples:

  • Lab Data Analysis: Altay identifies abnormal values in a hematological report and provides a detailed evaluation of potential associated diseases.
  • Interpretation of Imaging Data: It highlights anomalies in MRI or CT reports and ranks possible diagnoses, offering decision support for healthcare professionals.

Legal Sector (Tural Assistant)

The Tural assistant streamlines legal workflows and improves efficiency for professionals in the field.

Features:

  • Case Preparation: Generates a comprehensive report including legal precedents, relevant case laws, and applicable statutes based on the provided case details.
  • Legal Research: Conducts local and international statute searches. For example, during a commercial law case, Tural provides relevant case law within seconds.

Project Management and Consulting (Algın Assistant)

The Algın assistant is designed to assist users in project management processes.

Examples:

  • Risk Management: Identifies potential risks in large-scale projects and offers strategic suggestions for mitigation.
  • Project Planning: Creates Gantt charts based on user inputs, optimizing timelines and resource allocation.

Software Development (Alparslan Assistant)

The Alparslan assistant accelerates software development with comprehensive tools.

Examples:

  • Code Generation: Produces optimized code in Python, Java, or other languages based on a given problem statement. For instance, it can write an ETL (Extract, Transform, Load) script based on user-defined data processing requirements.
  • Debugging: Detects bugs in existing code and offers recommendations for fixes.

Personalized Assistants and Voice Cloning Technology

AIGENCY’s integrated voice cloning technology allows users to convert text-based outputs into audio. This feature models a user’s voice for seamless integration with AI assistants.

Use Cases:

  • Education: A teacher can upload a seven-second voice sample to create interactive lesson content in their own voice.
  • Psychological Support Applications: Psychologists can create personalized audio messages using specific therapeutic tones.


Performance Evaluation of AIGENCY

AIGENCY has undergone extensive testing on globally recognized platforms like MMLU, GPQA, and HumanEval to objectively evaluate its performance. These tests accurately measure the capabilities of the language model and are internationally validated. AIGENCY also stands out with its voice cloning technology and processing speed, providing a competitive edge over other language models.


1. Academic Performance Tests

MMLU (Massive Multitask Language Understanding):

This evaluation covers 57 academic disciplines with approximately 16,000 multiple-choice questions, assessing the model’s problem-solving and contextual understanding abilities in fields like mathematics, law, philosophy, and medicine.

  • Result: AIGENCY achieved a 90.1% success rate, demonstrating its strength as a leading model.
  • Example: In medicine, it excelled at interpreting MRI reports, while in mathematics, it solved complex analysis problems with high accuracy.

GPQA (Google-Proof Q&A Comparison):

Measures the model’s ability to produce accurate and reliable answers in large-scale, challenging datasets.

  • Result: AIGENCY achieved a 50.4% unity performance rate, showcasing advanced capabilities in multi-step logical reasoning.

HumanEval:

Tests the model’s ability to write code and create algorithms, based on 164 original programming challenges.

  • Result: AIGENCY scored 91.2% accuracy, excelling in Python-based software development tasks, including complex data processing algorithms.


2. Voice Cloning Technology

AIGENCY’s integrated voice cloning technology can model a user’s or another person’s voice with just seven seconds of data.

Evaluation Results:

  • Accuracy Rate: 88%
  • Dataset: Tested with 8,900 samples.
  • Processing Speed: Cloning is completed with only a 2.2-millisecond delay.

Use Cases:

  • Educational Materials: Teachers can create voice-based content for interactive learning.
  • Digital Assistants: Customized voices can enhance auditory user experiences.

3. Processing Capacity and Speed

AIGENCY’s token limit for single-session processing is up to 278,000 tokens, surpassing most popular models on the market.

Benchmarks:

  • Capacity: Approximately 11 times higher than OpenAI’s ChatGPT (25,000 tokens).
  • Processing Time:
  • Short messages: 1–3 seconds
  • Medium-length messages: 3–6 seconds
  • Long messages: 6–12+ seconds
  • Example: A 310-page book (278,000 tokens) can be processed in just 10 seconds, revolutionizing fields like financial analysis and academic research.



4. Comparison with Other Models

Compared to ChatGPT, Gemini, Microsoft Copilot, and Claude, AIGENCY offers:

  • Higher Token Capacity: Ideal for users working with large datasets.
  • Faster Response Times: Saves time for both individual and corporate users.
  • Flexible Customization: Enables model training based on specific user needs, appealing to a diverse audience.

Innovative Features and Future Prospects

AIGENCY is not just a language model; it’s a transformative platform that pushes boundaries, turning imagination into reality. With cutting-edge technology, constant updates, and user-focused solutions, it’s poised to be an indispensable partner in shaping the future of AI-powered solutions.