Custom AI Models, LLM Agents & Intelligent Process Automation. We combine deep domain expertise, cutting-edge technology stacks, and agile methodologies to deliver measurable business ROI.
Artificial Intelligence is revolutionizing modern business operations. Techno Amaze helps forward-thinking companies integrate bespoke AI and Machine Learning capabilities into their software products and internal workflows. From Retrieval-Augmented Generation (RAG) knowledge copilots and fine-tuned LLMs to computer vision inspection and predictive recommendation engines, we build production-grade AI solutions.
End-to-end specialized deliverables engineered to elevate your technical capabilities and drive sustainable growth.
Intelligent AI copilots that answer questions, cite sources, and execute actions based on your internal documentation.
AI models extracting structured data from unstructured PDFs, invoices, receipts, and medical scans.
YOLO and OpenCV models for industrial quality control, defect detection, facial recognition, and image classification.
Context-aware AI conversational agents that resolve customer support queries and book appointments autonomously.
Fine-tuning open-source LLMs (Llama 3, Mistral, Gemma) on your proprietary datasets for superior domain performance.
Machine learning algorithms that predict customer churn, dynamic pricing, and personalized product suggestions.
We build on industry-standard, robust technologies that ensure long-term stability, security, and developer velocity.
A structured 5-step delivery lifecycle ensuring transparency, rapid milestones, and zero regressions.
Evaluating business use cases, dataset quality, latency targets, and compliance requirements.
Building a working proof of concept (PoC) to validate AI accuracy and speed with your real data.
Structuring chunking strategies, vector embeddings, fine-tuning hyperparameters, and prompt engineering.
Implementing hallucination guardrails, PII masking, and strict accuracy evaluation benchmarks.
Deploying high-speed inference endpoints with token tracking and continuous feedback loops.
How our AI & Machine Learning expertise solves critical sector-specific problems.
Engineered a RAG copilot parsing 500-page commercial contracts in 4 seconds, highlighting liability risks.
Built HIPAA-compliant AI tool summarizing doctor-patient audio transcripts into structured clinical notes.
Deployed deep learning recommendation algorithm increasing cross-sell revenue by 24% for online retailer.
Trained real-time edge camera model detecting micro-cracks in manufactured aluminum parts on assembly lines.
Common questions about our AI & Machine Learning process, pricing models, and timelines.
We architect enterprise-grade zero-retention AI solutions. Your data is never used to train public models, and we can host open-source LLMs (such as Llama 3) entirely within your private VPC with zero external data transmission.
We employ Retrieval-Augmented Generation (RAG) with strict semantic grounding, vector similarity thresholds, source citation mandates, and custom validation guardrails (such as NeMo Guardrails).
Yes! We package our AI solutions as standard REST and WebSocket APIs, making it effortless to add AI search, chatbots, or automated analysis into your current software.
A functional Proof of Concept (PoC) is typically delivered in 2 to 3 weeks, followed by full production deployment, integration, and guardrail testing within 6 to 10 weeks.
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