AI Development & Integration Services

Building AI systems that automate work, scale operations,
and create new revenue streams.

Trusted by start-ups, scale-ups and enterprises

Real life-changing products

We engineer production-ready AI systems that turn your raw data into measurable revenue.

Custom EMR platform for a challenger in weight loss

We helped a fast-growing digital health company build a telemedicine-first EMR that connects patients, providers, labs, and pharmacies on a HIPAA-compliant platform. It delivers adaptive condition summaries, AI-driven blood work insights, personalized product recommendations, and wearable trends analysis, reducing admin work, enabling nationwide scale, and elevating patient care.

What weve built 1 sm

End-to-end virtual care system for a Telehealth pioneer

We helped a telemedicine company build an end-to-end virtual care platform with patient intake, triage, eDocuments, ambient listening, remote monitoring, hardware integration, live vitals, video visits, and scheduling.

What weve built 2 sm

Home & neighborhood visualization platform

We developed an AI-powered image generator that enables users to preview their future homes and surroundings through thematic visual scenarios. The platform transforms real places into immersive “what-could-be” experiences.

What weve built 3 sm

How AI can scale your
business operations?

Automate workflows, enhance existing tools, and launch production-ready AI products.
All tailored to your business.

AI Product & MVP Development

We help startups validate their business model with AI-powered MVPs and POCs built for speed, scale, and funding.

Examples

  • Al-powered SaaS products
  • Predictive analytics solutions
  • Recommendation engines
  • Chatbots and voice assistants
  • Data Pipelines

AI Automation & Agents

Scale your teams productivity with intelligent automations.

Examples

  • Smart chatbots for support
  • Lead qualification
  • Smart chatbots for support
  • Workflow orchestration
  • Report generation

AI Integration & Custom Software

Bring AI into your existing workflows.

Examples

  • Al knowledge assistants for internal teams
  • CRM and ERP Al automation
  • Al-enhanced analytics dashboards
  • Document search and summarization tools
  • Smart wearables

We love data. Let’s put yours to work.

Data & AI Infrastructure

We architect cloud-native AI solutions built for scale.
Our engineering leverages the full depth of Amazon Web Services and Microsoft Azure.

BG Amazon Web Services AWS
Aws
Amazon Web Services (AWS)
For enterprises powered by Amazon Web Services, we architect and deploy end-to-end AI solutions leveraging AWS’s integrated data and machine learning stack.
  • Data Lake Architecture Scalable, cost-efficient storage solutions (S3, EMR) optimized with high-performance formats like Parquet and ORC.
  • ETL Orchestration Robust data preparation using AWS Glue to automate pipelines for analytics and ML integration.
  • Serverless Analytics Fast, infrastructure-free querying of massive datasets via Amazon Athena and Redshift.
  • AI & Machine Learning Leveraging Amazon SageMaker and AWS Bedrock services, we develop, train, and deploy models that integrate directly into your products or workflows.
  • Visual Intelligence Custom dashboards and internal tools built on Amazon QuickSight and Tableau to drive decision-making.
BG Microsoft Azure
Azure
Microsoft Azure
For organizations running on Microsoft’s ecosystem, we architect and deploy end-to-end AI solutions using Azure’s native data and ML services.
  • Data Lake Storage We implement secure, compliant large-scale storage for both structured and unstructured data via Azure Blob and Data Lake Storage (ADLS).
  • Data Pipeline Orchestration We use Azure Data Factory to build serverless ETL workflows, unifying disparate data sources into automated, reliable pipelines.
  • AI & Machine Learning We leverage Azure AI Services and Azure Machine Learning to develop, train, and deploy models that integrate seamlessly into your products.
  • Business Intelligence We create dynamic reporting layers and applications using Power BI and Synapse Analytics to surface insights across your organization.

Why people work with us

  • Measurable outcomes
  • Security & compliance
  • Speed to value
  • Product craftsmanship
  • Seamless integrations

The process of integrating AI into your business

Safe deployments and shipping fast followed by a transparent process with clear steps and predictable outcomes.

1

Data Discovery

Before building anything, we dive deep into your data. We assess data quality, accessibility, and readiness to understand how it flows through your systems. This step helps identify opportunities, gaps, and the best starting points for AI automation or modeling.

2

Strategy

We identify where AI can create tangible impact. Whether that’s boosting efficiency, enhancing user experiences, or unlocking new insights. Together, we define the right scope, success metrics, and roadmap to get you from idea to implementation.

3

Prototype or Integration

We move fast from concept to reality. Building an MVP or integrating AI directly into your existing stack using modern, scalable tools. You’ll see how the system performs in your real environment, not just in theory.

4

Prototype or Integration

We move fast from concept to reality. Building an MVP or integrating AI directly into your existing stack using modern, scalable tools. You’ll see how the system performs in your real environment, not just in theory.

5

Scale & Support

Once validated, we help you scale to production with robust monitoring, governance, and ongoing support. We stay involved to ensure continuous improvement and lasting value as your data and needs evolve.

Questions asked about
AI integrations and development

We engineer production-ready systems designed to solve high-impact business problems. Our solutions range from Intelligent Automation (Agentic workflows and chatbots) and Decision Support (predictive models and forecasting) to Advanced Information Retrieval (secure Knowledge Bases using RAG).

We also architect the underlying AWS or Azure data infrastructure, ensuring every solution we build is scalable, secure, and fully compliant.
We engineer custom knowledge bases using your internal data to fine-tune industry-leading models from OpenAI and Anthropic, deployed securely on your AWS or Azure stack.
We build security into our architecture from day one. We have extensive experience helping clients achieve SOC 2 and HIPAA compliance under tight deadlines.

By partnering with leading compliance automation platforms (such as Sprinto or Drata), we streamline evidence collection and monitoring, getting you audit-ready in a fraction of the time it takes with traditional manual methods.
For standard RAG implementations or internal knowledge bots, we can often deploy a working MVP in a matter of weeks.

For complex systems where AI agents perform autonomous tasks or require deep multi-step reasoning, development requires rigorous testing and guardrails, typically taking a few months to fully mature.