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ISV & SaaS Companies

Embed AI
Into Your
Product

Software companies are racing to add AI capabilities to their products. Your customers expect intelligent features—document processing, predictive analytics, workflow automation, personalized experiences. But building and maintaining AI infrastructure isn’t your core business, and hiring an AI team is expensive and time-consuming.

We help ISVs and SaaS companies embed AI capabilities into their products without the overhead of building AI teams from scratch. We build the AI features, provide the infrastructure, and handle the complexity so you can focus on your product and your customers.

ISV & SaaS Use Cases

Use Case / 1
Product AI Features

We help you add intelligent features to your product that differentiate you from competitors. This might be document processing that extracts structured data, intelligent search that understands user intent, workflow automation that adapts to context, predictive analytics that forecast outcomes, or personalized recommendations based on user behavior.

These features become core differentiators that help you win deals, retain customers, and command premium pricing.

Amazon Bedrock
Anthropic Claude
Amazon Nova
SageMaker
AWS Lambda
CloudFormation
Use Case / 2
Intelligent Document Processing

Many SaaS applications deal with documents—contracts, invoices, forms, reports. We build document processing capabilities that extract information automatically, classify and route documents intelligently, validate completeness and accuracy, and integrate with your application workflows.

This transforms document-heavy workflows from manual processes to automated intelligence.

AWS Textract
Amazon Bedrock
AWS Lambda
Step Functions
Amazon S3
CloudFormation
Use Case / 3
Workflow Automation

We build agentic workflows that automate complex multi-step processes in your application. AI agents can process information, make decisions based on business rules, coordinate with other systems, and trigger actions automatically—all within your product.

This enables your customers to automate processes that previously required manual work, creating significant value and stickiness.

AWS AgentCore
Step Functions
Amazon Bedrock
AWS Lambda
CloudFormation
Use Case / 4
Customer Analytics

We build analytics capabilities that help you understand how customers use your product, predict which customers are at risk of churning, identify upsell and cross-sell opportunities, and optimize product features based on usage patterns.

Better analytics lead to better product decisions, higher retention, and increased revenue per customer.

AWS Glue
Amazon Redshift
Amazon QuickSight
SageMaker
Athena
CloudFormation
Use Case / 5
Scalable Infrastructure

As your customer base grows, your infrastructure needs to scale efficiently. We build AWS-native architectures that scale automatically based on demand, optimize costs as you grow, maintain performance under load, and support multi-tenant isolation for security.

We’ve helped SaaS companies scale from hundreds to thousands of customers without rebuilding their infrastructure.

Amazon ECS/EKS
AWS Lambda
Amazon RDS/Aurora
ElastiCache
CloudFront
CloudFormation

Why ISVs and SaaS Companies Choose Us

01
We Understand Product Development

We’re not just infrastructure consultants—we build products ourselves. DarcyIQ is our own SaaS platform, so we understand the challenges of product development, customer expectations, and the need to move fast.

02
AWS-Native Architecture

We build on AWS-native services that scale automatically, reduce operational overhead, and provide enterprise-grade security. Your customers get reliable, performant features without you building custom infrastructure.

03
Multi-Tenant Expertise

We know how to build multi-tenant architectures that keep customer data isolated while sharing infrastructure efficiently. This is critical for SaaS applications where security and cost efficiency both matter.

04
API-First Approach

We build AI capabilities as APIs that integrate cleanly with your application. You maintain control of the user experience while leveraging our AI infrastructure and expertise.

05
Flexible Engagement Models

Whether you need a fixed-fee project to build a specific feature or our POD model for continuous product development, we adapt to how you work.

Learn about POD delivery →

Let’s Build AI Into Your Product

The fastest way to see if we’re the right partner is to talk through your product, your roadmap, and where AI can create real differentiation. No sales pitch, no pressure—just a practical conversation about what’s possible for your SaaS.