85%
Faster processing
Brokerage Automation Platform
Reduced processing time from 7 days to 1 day and improved reporting accuracy.
AWSPythonPostgreSQLAPIs
Enterprise AI · Intelligent Automation · Digital Platforms
Move enterprise AI from pilots to production.
Aimetix designs, builds, and operates next-generation AI platforms — Agentic AI, copilots, document intelligence, and cloud-native applications — that turn automation into autonomy and cost into value.
- Enterprise AI & Agentic AI
- Intelligent automation
- Cloud-native engineering
- Data & analytics platforms
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Engineered on a proven technology ecosystem
- AWS
- Azure
- Kubernetes
- Python
- RedisPartner
- PostgreSQL
What we do
An enterprise AI solution portfolio, end to end
We combine strategy, technology, and engineering excellence to modernize platforms, automate operations, and unlock measurable business value.
Enterprise AI
Strategy through delivery for production AI — from roadmap to Agentic AI, copilots, and retrieval-augmented systems.
- AI Strategy & Roadmap
- Generative AI Solutions
- Intelligent Automation
- Agentic AI & Copilots
- Knowledge & RAG Systems
Product Engineering
End-to-end engineering for enterprise applications, SaaS platforms, portals, and modern digital products.
- Software Product Development
- Enterprise Applications
- Platform Engineering
- Mobile & Web Solutions
- Quality Engineering
Cloud Engineering
Modern cloud-native architectures on AWS and Azure with containers, DevOps, and disciplined cloud operations.
- Cloud Strategy & Migration
- AWS, Azure & Multi-Cloud
- Kubernetes & Containers
- DevOps & CI/CD
- Cloud Operations & FinOps
Data Platforms
Data architecture and engineering that turn raw data into governed, analytics-ready, real-time assets.
- Data Strategy & Architecture
- Data Engineering
- Analytics & BI Solutions
- Real-time & Streaming Data
- Data Governance & Quality
Digital Transformation
Business process modernization and automation that connect legacy systems to modern, integrated platforms.
- Business Process Modernization
- Workflow Automation
- Legacy Modernization
- API & Systems Integration
- Change Management
Security & Compliance
Security, governance, and compliance engineered into the platform — from assessment to audit readiness.
- Security Assessment & Testing
- Cloud Security & Governance
- Compliance & Risk Management
- Identity & Access Management
- Audit, Policy & Training
Why AI now
The shift from human-driven processes to intelligent autonomous operations
Organizations that operationalize AI today will define tomorrow’s competitive advantage.
Exponential Data Growth
Data is growing faster than traditional systems and human capacity can handle.
Talent & Productivity Constraints
Skilled talent is scarce and costly. AI augments teams and multiplies productivity.
Need for Speed & Agility
Markets move fast. AI enables real-time insights and faster decision-making.
Operational Inefficiencies
Manual processes lead to delays, errors, and hidden costs across the enterprise.
Rising Customer Expectations
Customers expect personalized, instant, and seamless experiences.
Competitive Advantage
AI-native organizations outperform by innovating faster and operating smarter.
AI is no longer experimental — it’s foundational. The time to act is now.
- From pilots to production
- From automation to autonomy
- From cost to value
Enterprise AI capability framework
Everything needed to put AI into production
A complete capability set around a single AI core — applications, autonomous agents, document intelligence, enterprise knowledge, the platform to run it, and the governance to trust it.
AI Applications
User-facing AI that augments teams and customers.
- Enterprise Copilots
- Customer Support Assistants
- Internal Knowledge Assistants
Agentic AI
Autonomous systems that execute multi-step work.
- Multi-Agent Systems
- Workflow Orchestration
- Autonomous Operations
Document Intelligence
Turning unstructured documents into structured data.
- OCR
- Data Extraction
- Classification
- Summarization
Enterprise Knowledge
Grounded retrieval over your own knowledge.
- RAG Platforms
- Knowledge Bases
- Semantic Search
Cloud & Platform Engineering
The cloud-native foundation AI runs on.
- AWS
- Azure
- Kubernetes
- DevOps
Security & Governance
Responsible, compliant, and secure by design.
- Responsible AI
- Compliance Controls
- Security Architecture
Business outcomes
Measurable results, from automation to autonomy
- 70%+
- Reduction in manual effort
- 60%
- Lower infrastructure cost
- 90%+
- Faster document processing
- 3–5x
- Increase in productivity
- 100%
- Policy & audit readiness
Manual Operations → AI Automation
Legacy Systems → Cloud Native
Paper Documents → Document Intelligence
Operations → AI Agents
Compliance → Governance
Selected engagements
Delivered outcomes, not slideware
Real projects across AI, cloud, healthcare, security, and analytics — with the stacks and results behind them.
<80ms
Platform latency
Cloud-Native FinTech Platform
Daily deployments, near-zero downtime, sub-80ms latency, and ~22% infrastructure savings.
AWS EKSRDS PostgreSQLALBIAMCloudWatchTerraform
Cloud-native
Target architecture
Application Modernization & AWS Migration
Improved scalability, faster releases, enhanced integrations, and optimized costs.
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Technology partnerships
Technology partnerships that strengthen enterprise outcomes
We work within a broad enterprise technology ecosystem. The platforms we recommend are ones we build on daily — with the depth to design, deploy, and operate them in production.
Technology Partner
Redis
Real-time data for responsive AI
Redis powers the low-latency data layer behind responsive applications and AI systems — caching, semantic and vector search for retrieval, session state, and real-time features. It is part of our engineering stack, and we design, deploy, and operate it in production.
Vector & semantic search
Fast similarity search over embeddings to ground RAG and enterprise-knowledge systems.
High-performance caching
Sub-millisecond caches that shield primary stores and speed up AI and application tiers.
Real-time features
Data structures and pub/sub for live feeds, messaging, and event-driven experiences.
Session & state management
Shared, fast session and state for horizontally scaled, stateless services.
Technology Partner
Red Hat
Enterprise open source for AI platforms
Red Hat’s enterprise Linux, container, and automation platforms provide a portable, supportable foundation for cloud-native and AI workloads across hybrid environments — complementing our Kubernetes and DevOps practice.
Enterprise Linux
A hardened, supportable OS foundation for critical workloads across data center and cloud.
OpenShift & Kubernetes
Enterprise container platform for consistent delivery of applications and AI workloads.
Hybrid cloud
A consistent operating model spanning on-premises and public cloud footprints.
Containers & orchestration
Production-grade orchestration, networking, and storage for containerized workloads.
Industries
Industry-specific digital transformation
Deep technology paired with domain knowledge across the sectors we serve.
Work with Aimetix
Ready to put AI to work?
Tell us what you want to automate, modernize, or build. We’ll bring the strategy, engineering, and delivery.