Applied and Gen AI

AI is transforming industries—but hype doesn’t equal results. At Arktecq, we deliver production-grade AI solutions that move the needle: fast, secure, and built for measurable impact.

What We Do
Scaled GenAI & AI Platforms

Designing future-ready AI infrastructure for performance, control, and compliance:

Cloud-Native & Secure: GenAI OS with enterprise-grade security and governance

MLOps & LLMOps: Automated lifecycle management with CI/CD pipelines

AI Orchestration: Coordinate agents, models, and data pipelines at scale

Agent Builders: Toolkits for building intelligent copilots and digital workers

GenAI Solution Development

Delivering high-impact solutions that turn models into business value:

Fraud Detection: Real-time risk analytics and predictive intervention

Knowledge Assistants: RAG-powered tools to surface institutional knowledge

Document Intelligence: Automate classification, summarization, and processing

Industry Applications: Custom AI for finance, healthcare, logistics & more

AI Managed Services

Expert support to keep AI platforms efficient, secure, and cost-optimized:

Pipeline Optimization: Drift detection, performance monitoring

AI Platform Support: SLA-driven reliability, upgrades, and troubleshooting

FinOps Enablement: Usage modeling, budget control, and cost governance

Agentic Software Development

Creating human-centric experiences powered by autonomous intelligence:

UX & Front-End Agents: Conversational interfaces, multimodal capabilities

App Migration & Modernization: Transform legacy systems into GenAI-native apps

AI Orchestration: Coordinate agents, models, and data pipelines at scale

AI Deployment Process

A structured approach to successful AI Deployment

Step 1: Model Choice
Foundation Models (LLMs, Vision, Multimodal)
Domain-Specific Models (Finance, Healthcare, Legal, etc.)
Model Registry & Versioning
Step 2: Customization
Prompt Libraries & Templates
Fine-Tuning Pipelines
Agent Frameworks (Copilots, Autonomous Agents)
Step 3: Security
Data Governance & Encryption
Role-Based Access Control (RBAC)
Compliance Layer (GDPR, HIPAA, ISO, etc.)
Step 4: Affordability
Scalable Compute with GPU/TPU Workloads
FinOps Tooling & Usage Dashboards
Efficient Models & Open-Source Integration
Step 5: Utility
KPI Tracking & Usage Metrics
Business Feedback Loops & Continuous Learning
UX Integration (APIs, Agents, Dashboards)

Contact

Let’s discuss how we can support your journey.