AI সফটওয়্যার ডেভেলপমেন্ট কোম্পানি যা শিপ করে প্রোডাকশন-রেডি AI

SoftBrixAI is an enterprise AI software development company. We build production-grade AI applications, autonomous multi-agent systems, custom LLM and RAG solutions, MLOps infrastructure, and predictive analytics — engineered to run reliably at scale rather than stall as experiments.

A prototype proves an idea works once in a demo. Production-grade AI runs continuously under real traffic with monitoring, automated failover, security controls, and self-correction loops that minimise hallucinations. We specialise in taking systems across that gap so they hold up in the real world.

A Core POC — strategy, a functioning prototype, and a technical roadmap — typically runs $15k–$50k. A full production build with scalable infrastructure and a 12-month performance warranty generally ranges from $50k to $150k+. Final pricing depends on scope, integrations, and compliance requirements, which we confirm in a discovery call.

A proof of concept usually takes a few weeks, while a full production system typically spans a few months across discovery, prototyping, development, and deployment. Our staged process puts working features in a staging environment early, so blockers surface while they are still cheap to fix.

We deliver AI across healthcare (HIPAA-compliant diagnostics), fintech (fraud detection, risk modeling, algorithmic trading), logistics (predictive routing and inventory optimisation), EdTech, SaaS, manufacturing, and legal — adapting each system to the vertical's data, workflows, and regulations.

Compliance is our default deployment posture, never a paid add-on. Every system is built against SOC 2 Type II, GDPR, CCPA, HIPAA, ISO 27001, PCI-DSS, and NIST frameworks, with automated static analysis and vulnerability scanning inside the CI/CD pipeline. We also support self-hosted LLMs for full data sovereignty.

Yes. We bridge modern AI capabilities with your current tech ecosystem through secure APIs and microservices, so you gain autonomous agents, RAG, and predictive models without ripping out the platforms your team already relies on.

Yes. Production builds include ongoing performance monitoring, model updates drawn from real usage data, and optimisation recommendations, backed by a 12-month performance warranty. Accuracy improves as usage scales and more data flows through the system.