Industry · SaaS

AI as your product moat

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.

30–50%Engagement ↑
2–3xRetention
15–40%ARR lift
Multi-tenantReady
Industry context

Beyond API wrappers

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.

01

Embedded copilots

In-product assistants that understand your domain and user workflows.

02

Predictive intelligence

Churn, usage forecasting, lead scoring, and anomaly detection on platform data.

03

Multi-tenant AI

Strict tenant isolation, per-customer customization, and shared compute efficiency.

04

Premium tier revenue

AI features that justify 15–40% ARR increases through new pricing tiers.

Use cases

Where SaaS AI delivers

Features that differentiate your product and drive retention.

Copilot

AI Copilots

In-product assistants — smart suggestions, content generation, data analysis, and natural language interfaces.

  • Domain-tuned
  • Action execution
  • Context aware
Predict

Predictive Analytics

Churn prediction, usage forecasting, lead scoring, and anomaly detection from platform data.

  • Custom ML
  • Real-time features
  • Dashboards
Search

Intelligent Search

Semantic search, RAG knowledge bases, smart filters, and natural language queries.

  • Hybrid retrieval
  • Tenant isolation
  • Citation binding
Personalize

Personalization

Content recommendations, adaptive UX, personalized onboarding, and smart defaults.

  • Activation lift
  • Usage signals
  • A/B ready
Automate

Workflow Automation

AI agents for data entry, report generation, email drafting, and multi-step workflows.

  • Agent orchestration
  • Tool use
  • Human handoff
Infra

AI Infrastructure

Multi-tenant serving, usage-based billing, per-tenant fine-tuning, and AI observability.

  • Prompt mgmt
  • Eval harnesses
  • Cost controls
01How can AI differentiate my SaaS product?

Copilots, predictive analytics, smart recommendations, and personalization — embedded AI drives 30–50% higher engagement and 2–3x better retention.

02What's the best way to add AI to existing SaaS?

Start with smart search, auto-categorization, or churn prediction — high impact, low risk. Expand to copilots and agents as infrastructure matures.

03How do you handle multi-tenant AI?

Strict tenant data isolation with shared compute — per-tenant customization, data partitioning, separate fine-tuning, usage-based credits, and SOC2-compliant handling.

04What does SaaS AI cost?

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.

Next step

Ready to add AI to your SaaS?

Tell us about your product — we'll design AI features that drive engagement, retention, and revenue.