Enterprise SaaS AI Solutions | AI for B2B Platforms, Copilots & Automation

AI Solutions for Enterprise SaaS & B2B Platforms

We help SaaS companies and B2B platforms build AI-native products using LLM copilots, intelligent workflows, and multi-agent automation. From onboarding to support and product intelligence—we transform your SaaS into an autonomous, self-optimizing system engineered for enterprise growth.

AI-Native SaaS Is the New Competitive Advantage

SaaS buyers expect more than features—they expect intelligent, automated products that onboard themselves, guide users proactively, and deliver insights instantly. AI is transforming SaaS from “tools” into autonomous, insight-driven platforms.

Personalized Experiences

Dynamic interfaces based on user role.

Self Service Onboarding

AI agents that guide users to "Aha!" moments.

Predictive Insights

Churn detection for Customer Success teams.

Automated Workflows

Reducing manual tasks for end-users.

Differentiation

Moving beyond feature parity to AI-driven value.

Solving Growth & Product Bottlenecks

Slow Feature Velocity

Teams struggle to ship AI-enhanced features fast enough.

High Support Load

Repetitive queries overwhelm support teams and hurt margins.

Weak Product Activation

Users don’t understand complex features, leading to low adoption.

No Clear Differentiation

Feature parity is high; AI capabilities drive unique value.

Data Fragmentation

Analytics, logs, CRM, and support data live in silos.

Manual Workflows

Users rely on human actions where automation should exist.

Churn Risks

No predictive models to detect at-risk accounts before they leave.

Scalability Limits

AI workloads require strong infra, observability & MLOps.

Complex Integrations

Enterprise clients require AI that respects RBAC and compliance.

Engineered for Product-Led Growth

AI Strategy & Roadmapping

AI-native product vision, Multi-tenant architecture, and ROI modeling for AI features.

LLM & Generative AI Engineering

In-app copilots, Natural language actions, and Auto-generated reporting.

RAG Systems

Product documentation assistants, Ticket deflection, and Policy retrieval.

AI Agents & Multi-Agent Automation

User onboarding agents, Account health scoring, and Billing automation.

Predictive Analytics & ML Models

Churn prediction (B2B/B2C), Usage forecasting, and Recommendation engines.

Computer Vision & Visual Intelligence

Document OCR, E-KYC systems, and Visual analytics dashboards.

MLOps & AI Infrastructure

Real-time inference, Usage-based billing models, and Scalable model deployment.

Use Cases by Function

Product Teams

AI-driven onboarding tours
Feature recommendation engines
User behavior analytics
Autonomous help centers

Support & CX

AI chat & voice support
Ticket auto-resolution
Sentiment detection
SLA breach prediction

Sales & Marketing

Predictive lead scoring
Personalized outreach generation
ABM intelligence alerts
Deal health monitoring

Engineering & Ops

Incident prediction
Log intelligence & anomaly detection
AI QA agents
DevOps copilots

Measurable Growth Metrics

Faster User Activation

25 %

Improvement in NRR

12 %

Reduction in Support Load

40 %

Workflow Automation

30 %

SaaS Success Stories

AI-Powered Person Re-Identification System

AI-Powered Multi-Camera Person Re-Identification We partnered with a leading security technology provider in Saudi Arabia to build a next-generation surveillance […]

AI Market Intelligence & Investment Forecasting Platform

AI-Powered Market Intelligence & Forecasting We partnered with a San Francisco financial services firm to build a next-generation research engine. […]

AI-Powered Legal Research Assistant for Indian Law & Documentation

AI-Powered Legal Research Assistant We partnered with a U.S.-based LegalTech firm to build a next-generation research platform. By fusing Retrieval-Augmented […]

Flexible Engagement for Speed

Dedicated AI Pods

Cross-functional teams (Data + ML + Backend) for rapid feature shipping.

POC to Scale

Hybrid Teams

Onshore product management + Offshore engineering efficiency.

Start with a 7-Day SaaS AI Audit

We assess your Data Infrastructure, AI Product Opportunities, and Competitive Gaps. You receive a 6-12 month AI Adoption Roadmap.