AI products and solutions that
Our Mercury offerings focus on agentic anything, while Verity acts as a super-brain to enhance data and enterprise intelligence. Additionally, Phoebe revolutionizes and automatizes any type of vocal and human like interactions such as contact center.
Industry-trained AI
for real world operations
AI agents that automate workflows, decisions and operations with compliance-aware intelligence. AI that speaks your business.
Governed reasoning and
reliable answers at scale
Turn data and documents into actionable intelligence, combining data intelligence with user signals to support better decisions.
Turn conversations into
operational intelligence
AI contact center agent that understands conversations, drives decisions, integrates into your workflows and elevates service quality with real-time sentiment intelligence.
Our software enables context-relevant intelligent experiences, enhancing operations from the back office to customer interactions.
Understanding users,beyond feedback
Built on Verity, UserHear turns fragmented user feedback into actionable intelligence. It aggregates multi-channel data to reveal user insights, enabling teams to shift from static reporting to real-time exploration. Now, you can uncover feedbacks and know what to build next.
Explore UserHearNot another toolbut an orchestrator
Mercury Sage connects systems and workflows across the entire product lifecycle. Built in AI Studio, it enables execution of tasks like user story creation, technical documentation, and release preparation, all with human-in-the-loop oversight and built-in control points.
Explore AI StudioNot in theory, but in practice AI Now, in action.
Call Center Optimization
A financial institution needed to reduce IVR complexity and wait times.
- Conversational onboarding instead of IVR
- Intent-based routing
- Real-time self-service
- Context-aware interaction flows
wait
time
handling
time
first-contact
resolution
CSAT
Credit Card Data Extraction & Structuring
A financial services provider needed reliable data extraction. Native SDK's card data extraction was slow.
- OCR + semantic parsing
- Data validation & normalization
- Structured outputs
- Integration into onboarding
error
rate
processing
time
data
accuracy
Commerce Intelligence from Agent & Transaction Data
A commerce platform needed unified behavioral insights. Fragmented data limited insight generation.
- Unified data layer (agent + transaction)
- Behavioral pattern detection
- Real-time insights
- Dynamic dashboards + conversational data access
conversion
optimization
time to
insight
campaign
performance
faster
decisions
Hyper-Personalized Travel Planning Engine
An airline needed to increase personalization and conversion. Generic recommendations resulted in low engagement and conversion.
- Intent-based planning
- Context-aware recommendations
- Dynamic itinerary generation
- Integrated booking flows
conversion
rate
basket
size
engagement
rate
drop-offs
Seamless Outbound Approvals & Off-Hour Handling
A technology service provider needed to automate approvals and after-hours requests.
- Automated outbound approval calls
- Conversational voice interaction
- Smart off-hours routing
- Backend-integrated action flows
approval
time
operational
workload
data
accuracy
uninterrupted
experience
Insurance Claim Automation
An insurance company needed to streamline claim processing. Manual efforts caused delays and inefficiencies.
- Automated intake & document processing
- Intelligent routing
- Workflow orchestration
- AI-assisted decision support
processing
time
operational
cost
error
rate
customer
satisfaction
AI Workplace Assistant
A large holding needed a unified internal assistant. Employees struggled to access policies and insights across systems.
- Teams-integrated AI assistant
- Policy & process access via natural language
- Career path and skill guidance
- Action-triggering capabilities
info access
time
support
requests
self-service
adoption
employee
engagement
E-Commerce Product Intelligence & Smart Search
An e-commerce platform needed better product discovery. Inconsistent data reduced discoverability.
- Automated product enrichment
- AI-based categorization
- Attribute extraction
- Semantic search
search
relevance
conversion
rate
manuel
effort
product
discoverability
AI Opportunity Mapping & Prioritization
An enterprise client needed a clear AI roadmap. AI initiatives were scattered and lacked prioritization.
- Discovery workshops
- Use case identification
- Value vs feasibility mapping
- AI roadmap definition
use cases
identified
prioritization
time
clear execution
roadmap
strong
alignment
Telecom Customer Experience Intelligence
A telecom operator needed proactive issue detection. Customer feedback was siloed and reactive.
- Multi-channel aggregation
- Sentiment & root cause analysis
- Issue clustering
- Proactive alerts
resolution
time
churn
risk
proactivity
rate
customer
satisfaction
Possible through cutting edge capabilities of AI Lab
Flexible AI Systems
Build, extend, and connect AI systems as needs evolve
Domain Specific Intelligence
Apply industry logic, workflows, and business context where it matters
Multi-Model Flexibility
Choose and combine the right models for each task and environment
Shared Context Layer
Connect memory, knowledge, and task state across systems and interactions
Controlled Orchestration
Coordinate workflows, tools, and agents with guardrails and human oversight
Deployment Flexibility
Run in cloud, on-prem, or hybrid setups depending on business needs
Ready to discover what AI can do for you?
Whether it is an offering you wish providing to your users or a process enabler workflow; we are ready to discover, define and deliver what your business need.
