DynasAI front layer
What your teams interact with every day.
- Visual agent & workflow builder
- Unified data evaluation workbench
- Pre-built industry templates
- One login for business and engineering users
Backend services on the clouds you already use
AWSBedrock, S3, Lambda, and VPC-native deployments.
AzureOpenAI, Entra ID, Fabric, and enterprise app integrations.
GCPVertex AI, BigQuery, and secure data processing pipelines.
Simple front layer. Your cloud. Your data.
DynasAI sits between your teams and the hyperscalers — one workspace to build, evaluate, and automate while backend services run where you choose.
Your cloud backend
Where compute, storage, and models run — your choice.
- Customer-selected AWS, Azure, or GCP services
- Bring your own VPC, tenant, or data lake
- Cost-optimized architecture recommendations
- No forced cloud lock-in
From raw sources to trusted automation
Enterprises sit on fragmented data — APIs, files, warehouses, SaaS exports, and streaming feeds. DynasAI ingests from multiple sources, profiles and evaluates quality, applies processing rules, and exposes clean context to agents and analysts.
Collect
Connect databases, APIs, documents, webhooks, and batch files from any source.
Evaluate
Score completeness, freshness, bias risk, and retrieval quality before use.
Process
Normalize, enrich, chunk, and govern pipelines with versioned transforms.
Automate
Feed governed agents and workflows with audit-ready context and approvals.
Enterprise AI services for the modern era
Strategy, data processing, automation, and compliance — delivered on AWS, Azure, or GCP.
Strategy & Cloud Advisory
Choose the right cloud mix (AWS, Azure, GCP), data residency model, and AI roadmap with clear ROI.
- Multi-cloud & cost optimization
- Data residency planning
- AI automation roadmap
Agent & Automation Engineering
Build governed agents and workflows on the DynasAI front layer — connected to your chosen cloud backend.
- Custom AI agents
- Workflow orchestration
- Human-in-the-loop automation
Data Ingestion & Processing
Collect raw data from any source, normalize it, evaluate quality, and prepare it for AI — without losing control.
- Multi-source data pipelines
- Raw-to-ready processing
- Evaluation & lineage
Secure Operate & Compliance
Run production automation with GDPR, US privacy standards, audit trails, and continuous AgentOps.
- GDPR & US data controls
- AgentOps & monitoring
- Security review artifacts
Security and privacy by design
We follow enterprise security practices and regional privacy requirements so customers can deploy with confidence — whether data stays in the EU, US, or a hybrid model.
GDPR & EU privacy
Data minimization, purpose limitation, DPA support, and residency options for EU customers.
US enterprise standards
SOC-aligned controls, encryption in transit/at rest, and access logging.
Customer data control
Use our managed cloud templates or keep data in your own AWS, Azure, or GCP account.
Audit-ready operations
Trace logs, eval reports, and policy gates for regulated industries.
The agent automation lifecycle
From discovery to operated production — on your cloud, with our front layer and toolkit.
Discover
Map data sources, cloud options, compliance needs, and high-ROI automation opportunities.
Design
Architect agents, data pipelines, and human-in-the-loop controls on your chosen cloud backend.
Deploy
Ship to AWS, Azure, or GCP with secure integrations, eval gates, and environment-aware rollout.
Operate
Monitor traces, data quality, and drift — iterate with AgentOps and compliance cadence.
Start with the right cloud and data model
We recommend cost-effective AWS, Azure, or GCP architectures — then deliver automation on the DynasAI front layer with full data control.
