24.08.2025/
In a recent discussion, David Luan, the head of Amazon AGI Labs, expressed his desire to be remembered more as an AI research innovator rather...
Knowledge base. Technus AI Custom
Technical questions about custom development and security
We have systematized answers to the most frequent questions regarding integration with Legacy systems, trade secret protection, and implementation timelines for complex architectures
Out-of-the-box products solve standard tasks (moderation, parsing, support). Custom development is applied when the business logic is unique, requires integration with closed ERP systems, industrial equipment, or the creation of multi-agent networks
Yes. This is one of our core competencies. If your system lacks a modern API, our engineers will develop Middleware or custom gateways that will allow the neural network to securely exchange data with the outdated DB
For projects with high security requirements, we use an On-Premise architecture. The neural network and all databases are physically deployed on your servers without access to the external internet. Data leakage is technically impossible
In custom development, the terms of intellectual property transfer are discussed individually. In most cases, after full payment for the project, exclusive rights to the unique architecture and trained model weights are transferred to the client
Timelines depend on the complexity of the architecture. Creating an MVP (Minimum Viable Product) usually takes 4 to 8 weeks. Full implementation of a complex multi-agent system with ERP integration may require 3 to 6 months
This is an architecture where several AI agents communicate with each other. For example, one agent searches for data, the second analyzes it, and the third verifies the work of the second. This allows solving the most complex analytical tasks inaccessible to a single neural network
Absolutely. We perform Fine-tuning of base models on your historical data, regulations, and terminology. Thanks to this, the AI begins to understand the specifics of your particular business, rather than giving general template answers
We sign an SLA (Service Level Agreement), which guarantees round-the-clock system monitoring, prompt troubleshooting, and regular updates of AI models to maintain their high efficiency
Yes, we actively develop White-label solutions. We will create a product under your brand, with your design and billing, which you can sell to your clients using the SaaS model, receiving 100% of the profit
During the audit stage, our business analysts, together with your specialists, digitize current losses (on payroll, errors, logistics). We only take on a project if the mathematical model shows a return on investment within the first year
Yes. We develop Computer Vision systems that analyze video streams in real time to monitor safety compliance, detect defects on the assembly line, or track equipment movement
A dedicated team works on the project: an AI Architect, Data Scientist, Backend developers, information security specialists, and a business analyst who translates your requirements into the language of mathematical algorithms
