01
Enterprise AI Transformation
Gemini Enterprise, OpenAI and Claude agents in production within a quarter, inside your governance.
Most enterprise AI stalls between a promising pilot and a system people rely on. We close that gap: pick the use cases that pay, design the agent architecture, ground it in your data, wire it into the systems where work happens, and ship it with evaluation, cost controls and audit trails in place. Then we scale it from one team to the enterprise.
What we do
- —AI strategy and use-case portfolio tied to P&L
- —Agent architecture: Gemini Enterprise, OpenAI, Claude
- —Enterprise grounding and retrieval with access controls intact
- —Evaluation suites, red-teaming, cost and latency tuning
- —Change management and adoption across teams
Outcomes
- —Pilot to production in one quarter
- —Measured ROI per use case
- —Governance an auditor accepts
Platforms
Google Gemini Enterprise, Vertex AI, OpenAI, Azure OpenAI, Anthropic Claude, Amazon Bedrock, Azure AI Foundry
Engagement
Advisory, Project, Managed Services
Scope an AI program
02
Data & AI Modernization
Governed data that people and AI agents can both trust.
Agents are only as good as the data they can reach. We modernize warehouses into governed platforms on Snowflake, Databricks and Microsoft Fabric, build the pipelines and semantic layers agents depend on, and put lineage, quality and access controls where they belong: in the platform, not in a slide.
What we do
- —Warehouse to lakehouse migration
- —Pipelines, dbt models and semantic layers
- —Data quality, lineage and cataloguing
- —ML and feature operations
- —Cost governance and FinOps
Outcomes
- —Legacy warehouses retired
- —Single governed source for analytics and AI
- —Reporting cycles cut by half or more
Platforms
Snowflake, Databricks, Microsoft Fabric, Azure Data Factory, dbt, Power BI
Engagement
Project, Managed Services, Staffing
Assess your data platform
03
API & Integration
Agents that act inside your systems, not chatbots that describe them.
Deep enterprise integration experience is what lets our AI work reach ERP, CRM, EHR and plant systems. We replace brittle point-to-point interfaces with API and event layers, expose them as tools agents can call safely, and add the observability that keeps integrations honest.
What we do
- —API and event architecture
- —MuleSoft and Azure Integration Services delivery
- —ERP, CRM and EHR connectors (SAP, Salesforce, ServiceNow, Epic)
- —Tool interfaces for AI agents
- —Observability and incident reduction
Outcomes
- —Point-to-point interfaces retired
- —Integration incidents down 90%+
- —Automation across systems of record
Platforms
MuleSoft, Azure Integration Services, Salesforce, ServiceNow, SAP, Epic FHIR
Engagement
Project, Managed Services
Review your integration landscape
04
Cloud & Platform Engineering
A platform built for AI workloads, not retrofitted for them.
AI changes what a platform has to do: GPU scheduling, vector stores, model gateways, cost visibility. We build and run landing zones, Kubernetes platforms and DevOps pipelines on Azure and Google Cloud that meet those demands and your security baseline.
What we do
- —Landing zones and network architecture
- —Kubernetes platforms and model serving
- —CI/CD and infrastructure as code
- —FinOps and capacity planning
- —Platform operations
Outcomes
- —Faster, safer releases
- —Predictable cloud spend
- —Developer productivity up
Platforms
Microsoft Azure, Google Cloud, Azure Kubernetes Service, Terraform, Azure DevOps, GitHub
Engagement
Project, Managed Services
Plan your platform
05
Cybersecurity
AI you can put in front of an auditor.
Security is in the company name, and every practice inherits it. We design identity, access and monitoring for AI-era estates, add prompt, output and data controls to agent deployments, and run security operations that see AI systems as first-class assets.
What we do
- —Security architecture and zero-trust identity
- —AI governance: prompt, output and data controls
- —Security operations and monitoring
- —Compliance programs and evidence
- —Assessments and remediation
Outcomes
- —Agents running inside your controls
- —Faster audits with evidence in place
- —Stronger posture across cloud and AI
Platforms
Microsoft Sentinel, Microsoft Entra ID, Defender for Cloud
Engagement
Advisory, Managed Services
Request a security review
06
Professional Staffing
Senior capacity without the hiring cycle.
When the work needs people more than a project, we embed certified architects, engineers and data specialists in your team on U.S. hours, backed by delivery centers in Hyderabad, Bangalore and Chennai. Same vetting, same governance, your management.
What we do
- —AI, data, integration and cloud architects
- —Engineers and data specialists
- —Named U.S. lead for every placement
- —Follow-the-sun teams when needed
- —Convert to managed services at any time
Outcomes
- —Skills gaps filled in weeks
- —Costs below U.S.-only hiring
- —Continuity across initiatives
Platforms
Google Cloud, Microsoft Azure, Snowflake, MuleSoft, Salesforce, ServiceNow certified
Engagement
Staffing, Managed Services
Describe the role you need