Service

AI Development & Integration Services

AI Development involves building custom machine learning models, autonomous agents, and RAG systems that automate complex cognitive tasks — for startups, SMEs, and enterprise teams integrating LLMs like GPT-4 and Claude.

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What is AI Development and who is it for?

AI Development involves building custom machine learning models, autonomous agents, and RAG systems that automate complex cognitive tasks. It is designed for startups, SMEs, and enterprise teams seeking to integrate LLMs (like GPT-4 and Claude) to automate workflows, build intelligent chatbots, and gain a competitive edge.

Custom AI & Machine Learning Engineering

At ByteLeaps, we bridge the gap between cutting-edge foundation models and real-world business applications. We build cognitive automation layers that integrate directly with your databases, customer channels, and APIs.

Key benefits
Automated Efficiency: Replace repetitive manual tasks with self-improving agentic workflows.
Bespoke Chatbots: Intelligent customer agents trained on your proprietary data that handle queries with human-like comprehension.
Proprietary Knowledge Bases: Secure RAG systems allowing teams to query databases and documents using semantic natural language.
Scalable Automation: Process data pipelines, generate content, and compile insights automatically in real-time.
Technologies
PythonLangChainLlamaIndexOpenAI APIAnthropic ClaudeGeminiMediasoupPineconepgvectorPyTorch
Our process
01Feasibility Study & Scoping

We analyze your data sources and business rules to map out LLM compatibility.

02Prototype & Prompt Engineering

Creating and tuning system instructions, structuring tool calls, and embedding vector pipelines.

03Security & Guardrails

Implementing rate limits, input/output sanitation, and custom safety filters to prevent LLM hallucinations.

04Production API Deployment

Deploying the agent as a scalable API, integrated with your web or mobile frontend.

FAQ

Frequently asked questions

Simple API integrations and chatbots take 3-5 weeks. Custom agents and RAG implementations on large datasets can take 6-12 weeks.
We utilize both, depending on privacy needs. We work with OpenAI, Anthropic, Gemini, as well as self-hosted open-source models like Llama 3.