We're platform-agnostic by design — choosing the right AI model, cloud provider, and integration for your stack, not the one we're most comfortable with.
AI platforms
Claude models power our conversational agents and autonomous task automation.
GPT-based integrations where they're the right fit for a client's existing stack.
Gemini and Vertex AI for multimodal and Google-native workflows.
Open-source large language models for teams that need full control.
Efficient, open-weight models for cost-sensitive deployments.
Model hub and open-source ML tooling.
Voice synthesis for natural-sounding voice agents.
Cloud & data
Amazon Web Services — migrations, DevOps, and managed operations.
Microsoft's cloud platform for teams already invested in the Microsoft ecosystem.
Google Cloud Platform for data-heavy and AI/ML-native workloads.
Cloud data warehousing for teams that need one governed source of truth.
Unified data and AI platform for large-scale analytics.
Infrastructure as code for repeatable, version-controlled environments.
Reliable relational database for transactional and analytical workloads.
Flexible document database for unstructured and semi-structured data.
Business & CRM
CRM integration for lead routing, conversation logging, and customer records.
Marketing and CRM integration for growing sales and support teams.
Workflow automation connecting the tools you already use.
Communications infrastructure for SMS, voice, and messaging.
Payments infrastructure for billing and checkout flows.
Team messaging integration for notifications and workflow triggers.
Cybersecurity
Identity and access management for secure, seamless logins.
Network and application security, from DDoS protection to WAF.
Authentication and identity infrastructure for custom applications.
Log management and SIEM for security monitoring at scale.
Cloud-native SIEM and SOAR for automated threat response.
Next-generation firewalls and extended detection and response.
Continuous vulnerability management and compliance scanning.
Vulnerability scanning to find exposures before attackers do.
Static code analysis for security and code quality.
Centralized secrets and encryption key management.
Continuous threat detection for AWS accounts and workloads.
Centralized view of security findings across AWS accounts.
Incident alerting and on-call escalation when something needs eyes now.
Automated evidence collection for SOC 2, HIPAA, and other compliance frameworks.
Manual and automated penetration testing for web applications.
Phishing simulations and security awareness training for your whole team.
Document & storage