AI-Powered SaaS Software Development Solutions

Yes our generative AI feature architecture is LLM-provider-agnostic, whether you power customer service copilots or search. We support OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, Azure OpenAI, and self-hosted models (Ollama, vLLM). We build routing layers that let you switch providers without rewriting product features, and support multi-model strategies where different providers handle different use cases based on cost, latency, and capability tradeoffs.

Every AI feature we build ships with a measurement framework covering activation lift (cohort analysis vs control), support deflection rate (ticket volume delta), customers experience across customer interactions, trial-to-paid conversion (segmented by AI feature engagement), and churn delta (AI-engaged vs non-engaged cohorts). We instrument via your existing analytics stack (Amplitude, Mixpanel, Segment, PostHog) and deliver weekly dashboards during the first 90 days post-launch.

We build privacy-first by default customer data used for AI features is isolated per tenant, never used to train shared models, and governed by your own data retention policies. We support GDPR right-to-erasure for AI-generated content and embeddings, CCPA opt-out workflows, and SOC 2 audit trail requirements. On-premise LLM deployment is available for customers with strict data residency requirements.