
QubarTech is a fast-paced artificial intelligence and modern software engineering startup. Founded in the intelligence era, we are unburdened by legacy tech stacks or slow corporate agency bureaucracy. We are built to move fast and engineer scalable, production-ready AI products.
Whether you are a fellow startup founder looking to launch an AI MVP in record time, or an established business seeking to automate operations with autonomous agents and enterprise RAG, we partner with you directly. You get transparent communication, milestone-driven sprints, and founder-led engineering excellence from Day 1.
Explore how our custom AI architectures and autonomous agent systems drive measurable revenue, eliminate manual bottlenecks, and cut operational costs.
Architected a multi-agent validation pipeline connecting live credit bureau APIs, bank statement parsers, and fraud models with human-in-the-loop escalation.
Built a secure, private enterprise RAG engine enabling physicians to query complex longitudinal patient histories, lab scans, and clinical trials with verified citations.
Engineered an automated customer agent handling tracking, returns, order modification, and personalized cross-selling across Web, WhatsApp, and Email.
We build on the world's most reliable foundation models, high-performance vector databases, and production-hardened orchestration frameworks.
Traditional agencies carry bloated legacy overhead and slow processes. As a modern AI engineering startup, we are native to the new era of autonomous agents, foundation models, and vector architectures. You work directly with hands-on AI builders and founders — moving from idea to working AI MVP in 2 to 4 weeks with zero bureaucratic delays and flexible, startup-friendly pricing.
We specialize in end-to-end AI engineering: Autonomous AI Multi-Agent Workflows (LangGraph, CrewAI), Zero-Hallucination Enterprise RAG over private knowledge bases, Custom LLM Fine-Tuning (Llama 3.3, DeepSeek, Mistral), Computer Vision & Document OCR Extraction (IDP), Predictive ML, and Full-Stack AI-Native Web & Mobile SaaS applications.
Data confidentiality is our highest priority. We architect strictly isolated, zero-data-retention AI pipelines. When using commercial models (OpenAI, Anthropic, Gemini), we enforce enterprise zero-retention API policies. For sensitive healthcare (HIPAA), financial, or proprietary workflows, we deploy self-hosted models (Llama 3, DeepSeek) inside your private cloud VPC (AWS, GCP, Azure) with zero external data exposure.
We follow rapid agile sprints. An AI Proof of Concept (PoC) or initial MVP typically ships within 2 to 4 weeks. Full-scale multi-agent systems and private fine-tuned platforms are delivered and hardened for production in 4 to 8 weeks, complete with observability, CI/CD, and robust evaluation benchmarks.
We offer founder-friendly, transparent pricing: (1) Fixed-Scope AI MVP Sprints for fast launches, (2) Dedicated AI Engineering Pods (hands-on AI/ML engineers embedded with your team), and (3) Fractional AI CTO & Architecture consulting. Use our interactive AI Calculator on this page for instant estimates.
Yes! AI models require active observability. We integrate comprehensive telemetry, token usage tracking, latency monitoring, and automated eval suites (using tools like LangSmith and custom test harnesses) to ensure your AI maintains 99%+ accuracy as your data evolves.

Schedule a free 30-minute discovery call with our Senior AI Solutions Architects. We will review technical feasibility, outline a customized system blueprint, and provide transparent milestone pricing.