Embedded copilots
In-product assistants that understand your domain and user workflows.
Industry · SaaS
We help SaaS companies embed AI into their products — copilot assistants, predictive analytics, intelligent search, personalization engines, and workflow automation that drive engagement, retention, and premium tier revenue.
Every SaaS product will need AI features. We help you go beyond simple wrappers to deeply integrated copilots, predictive models on your data, and agent automation — with multi-tenant architecture and usage-based AI billing.
In-product assistants that understand your domain and user workflows.
Churn, usage forecasting, lead scoring, and anomaly detection on platform data.
Strict tenant isolation, per-customer customization, and shared compute efficiency.
AI features that justify 15–40% ARR increases through new pricing tiers.
Features that differentiate your product and drive retention.
In-product assistants — smart suggestions, content generation, data analysis, and natural language interfaces.
Churn prediction, usage forecasting, lead scoring, and anomaly detection from platform data.
Semantic search, RAG knowledge bases, smart filters, and natural language queries.
Content recommendations, adaptive UX, personalized onboarding, and smart defaults.
AI agents for data entry, report generation, email drafting, and multi-step workflows.
Multi-tenant serving, usage-based billing, per-tenant fine-tuning, and AI observability.
Embedded AI features with measurable product and revenue impact.
AI agents in B2B CRM — lead scoring, email drafting, meeting prep, and pipeline analytics.
Document AI for LegalTech SaaS — clause extraction, risk scoring, and contract comparison at scale.
RAG-powered compliance product — regulatory document review with tenant-isolated knowledge bases.
Production AI capabilities we bring to every industry engagement.
Copilots, predictive analytics, smart recommendations, and personalization — embedded AI drives 30–50% higher engagement and 2–3x better retention.
Start with smart search, auto-categorization, or churn prediction — high impact, low risk. Expand to copilots and agents as infrastructure matures.
Strict tenant data isolation with shared compute — per-tenant customization, data partitioning, separate fine-tuning, usage-based credits, and SOC2-compliant handling.
Initial development: $80K–$250K. Inference: $0.01–$0.50 per user/month for LLM features. Most see 15–40% ARR increase from AI premium tiers.
Tell us about your product — we'll design AI features that drive engagement, retention, and revenue.