AI Model Development

Move beyond off-the-shelf solutions. We design, train, and tune bespoke AI models that address your specific operational needs, turning complex data into your most powerful asset.

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Experience the Agent

Guaranteed  MVP delivery within  90 days

100% Adoption of JIRA for Scope & Timeline Tracking

Accelerated AI-Powered Development & Delivery

Hire Top 3% of AI and Blockchain Talent

David Lawler
Connect With Expert
250+
Fullstack Developers
60+
Blockchain Projects
160+
Digital Solutions
5+
Total Years of Experience

We offer comprehensive blockchain consulting services to help businesses leverage the power of blockchain technology. With our team of seasoned consultants and developers, we provide comprehensive guidance and support to help you navigate the complex world of blockchain and implement tailored solutions that align with your unique requirements.

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Begin with a Proof of Concept (POC) that Provides Insight

Our Proof of Concept (POC) services allow you to test your AI or blockchain solution in real-world scenarios, reducing risk and boosting confidence. Discover what works, improve what doesn't, and proceed with assurance.

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AI Model Development

Transform your data into a competitive advantage with custom AI models. Our full-cycle development process delivers robust, production-ready intelligence tailored to your exact requirements.

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Industry Challenges in AI Model Development

AI model development is a complex balancing act between performance and practicality. The key challenges are creating efficient yet powerful models, overcoming data limitations, ensuring long-term reliability against model drift, and achieving the transparency required for trust and compliance.

01
Model Efficiency

Developing models that are both powerful and computationally efficient is a major challenge, driven by the escalating costs of training and deploying large-scale architectures.

02
Data Scarcity

Training accurate models for specialized domains where high-quality labeled data is limited remains a significant hurdle, requiring advanced transfer learning techniques.

03
Model Drift

Preventing a deployed model's performance from degrading over time as real-world data evolves is a critical challenge requiring robust monitoring and retraining pipelines.

04
Explainability (XAI)

Overcoming the "black box" nature of complex models to make their decisions interpretable is crucial for debugging, building user trust, and meeting regulatory demands.

A Tech Stack Built for Intelligence at Scale

We bring together industry-leading LLMs with proprietary Model Context Protocols for a truly next-gen AI experience.

OpenAI o3
Gemini 2.0
DeepSeek R1
Qwen 2.5-Max
Llama 3.2
BERT
LaMDA
Orca
Mistral
PaLM2
Claude
Hugging Face
Models
GPT NeoX
GPT-4
Llama 3
PaLM-2

The Data Engine Behind Every Smart Decision

Our database architecture is designed to support high-speed retrieval, contextual memory, and scalable knowledge grounding for every AI agent.

Data Lakes
Vector Databases

AI-Powered Dev Stack in Action

Our development stack includes cutting-edge tools that give your AI agents the memory, logic, and context to perform like pros.

Core Layer

Ethereum
Solana
Substrate
Quorum
Cosmos
Avalanche
Avalanche
Hyperledger
NEAR

Smart Contract Layer

Solidity
Vyper
Rust
Move
Hardhat
Foundry
Truffle
Anchor

Wallet & Identity Layer

MetaMask
Phantom
WalletConnect
Trust Wallet
Web3Auth
Magic.link
ENS

Frequently Asked Questions

What is AI Model Development?
Why should we choose custom model development?
What is the full-cycle development process at AMJ Conversent AI?
What is "Model Drift" and how does AMJ Conversent AI handle it?
We have limited data. Can AMJ Conversent AI still build a model?
What is "Explainability (XAI)" and why is it important?
How do you ensure your AI models are efficient?
How can we test our AI model idea before committing?
What is your project management and delivery timeline?
Who will be building our custom AI models?