Three services.
One clear
purpose.
Each Infera service addresses a distinct layer of AI application — information retrieval, data availability, and process coordination. Together, they cover the areas where AI typically creates the most practical value in business operations.
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Our delivery methodology
Discovery
We map your current environment — tools, data, infrastructure, and constraints — before designing anything. No assumptions.
Scoping
We define exactly what will be delivered, what's out of scope, and how long the engagement will take. Everything is written down.
Build & Test
We build incrementally with regular client checkpoints. Testing and evaluation are built in from the start, not bolted on at the end.
Handover
We transfer documentation, code, and training to your team so they can operate independently. Then we step back.
AI-Powered Search Enhancement
Redesign and upgrade of your internal or customer-facing search using semantic understanding and contextual ranking. The service evaluates your current search experience, identifies common failure patterns, and implements AI-enhanced retrieval that understands meaning rather than relying solely on keyword matching.
- Query expansion and synonym handling
- Relevance tuning with measurable improvement metrics
- Testing framework for objective evaluation
- Works with knowledge bases, e-commerce catalogs, document repositories
Engagement Steps
Synthetic Data Generation
Creation of realistic artificial datasets that preserve the statistical properties and relationships of your actual data without exposing sensitive information. Particularly valuable when real data is too limited for model training, too sensitive to share with development teams, or when you need edge cases that rarely occur naturally.
- Data profiling and generation model design
- Quality validation and privacy assurance review
- Reusable generation scripts delivered to your team
- PDPA-aligned data handling throughout
Engagement Steps
Intelligent Workflow Orchestration
Architecture and deployment of an AI-driven system that coordinates complex multi-step business processes — routing tasks, assigning priorities, and surfacing relevant information to the right people at the right stage. The platform learns from historical workflow patterns to suggest optimisations and flag potential bottlenecks.
- Integration with CRM, ERP, and project management tools
- Dashboard configuration and team training included
- 90-day refinement period after initial deployment
- Requirements analysis and process modelling from day one
Engagement Steps
Which service fits your situation?
Use this matrix to orient yourself — or get in touch and we'll help you figure out where to start.
| Search Enhancement |
Synthetic Data |
Workflow Orchestration |
|
|---|---|---|---|
| Poor search results / users can't find information | |||
| Real data is sensitive or too limited for model use | |||
| Multi-step processes require heavy manual coordination | |||
| Needs to integrate with existing tools (CRM, ERP) | Partial | ||
| Privacy-sensitive data handling required | Included | Included | |
| Best for: budget and timeline | SGD 890 / 4–6w | SGD 1,150 / 3–5w | SGD 2,300 / 8–12w |
Technical standards we hold to
PDPA Alignment
All engagements are designed in alignment with Singapore's Personal Data Protection Act.
Version-Controlled Delivery
Code and scripts are delivered with full version history and documentation.
Evaluation Built In
Testing frameworks are included in every service — not an optional extra.
Complete Documentation
Every deliverable comes with documentation your team can actually use.
Confidentiality by Default
NDAs are standard. Client data and business context remain strictly confidential.
Stack-Compatible
Deliverables are compatible with your existing technology stack — not dependent on ours.