OUR CONSULTING WORK
AI FOR CONSTRUCTION DOCUMENT INTELLIGENCE
We built an AI-powered solution involving understanding spatial data sets and relationships for an architectural engineering company managing large-scale building projects with complex drawings and PDFs involving architecture, plumbing, electricals, .
An intelligent chatbot allows teams to ask natural language questions across all project documents and receive instant context-aware answers with citations, along with highlighted elements such as doors, windows and layouts directly within documents and also supports voice-based queries for faster hands-free access.
Search time was reduced from 1 to 2 mins to just 2 to 3 seconds
AI-driven metadata extraction automatically captures drawing numbers, revisions, and dates from PDFs. Instant context-aware, reducing manual effort and improving accuracy with user verification
AI PRODUCT ENGINEERING
- At InferWorks, our product engineering philosophy goes beyond just building software; we architect intelligent systems that are resilient, scalable, and future-ready. We specialise in AI-powered product engineering, with a strong emphasis on end-to-end product engineering.
- We are transforming Quality Engineering (QE) for one of our customers through automation, intelligence, and agility using domain-specific AI agents and autonomous test bots.
PRODUCT DEVELOPMENT COE
- We partnered with a customer to develop their product involving Quick Commerce Analytics and Insights for Quick Commerce Marketplace Vendors.
- We consulted on positioning Valuable data on Ads, Ad Positioning opportunities, competitor landscape on all pin codes across India for the brand.
TELEMATICS FOR AUTOMOTIVE GAINT
- We worked with an Indian automotive giant, demonstrating a full end-to-end IoT telemetry with cloud or on-premise deployment, supporting real-time AI-powered digital twins and predictions, and offering fleet management with seamless B2B onboarding for Automotive Clusters.
- Our AI solutions power customer applications like traffic sign detection, health predictions, and smart recommendations, with CRM and sales integrations to enhance business performance.
MULTI-MODEL AGENTS FOR VIDEO ANALYSIS
- We have consulted and built Multi-Model AI Agents for Media and OTT Powerhouses, involving Computer Vision, Audio, and Speech for Media and OTT setups.
- Frictionless AI, Seamless integrations into your CMS and other investments
- We are consulting with some of India's biggest news agencies for continuous AI transformation.
AGENTIC FRAMEWORK FOR ITIL
- Multi-agent orchestrators for ITIL Framework
- Reasoning, Action, Planning, Knowledge Management, Action Agents
- Multiple data connectors with MCP for Microsoft 365 (all apps), InTunes, Jira, Confluence, Service Now, SharePoint, PDFs (knowledge), Website URLs and others
- Our solution helped our customer Triage issues, resolve issues and even recommend prescriptions
PERSONALIZED CONSUMER AI
- We've worked on highly sophisticated Recommendations involving complex reasoning, learning, and re-learning with neural networks and Large Knowledge Graphs.
- Our AI recommendation engines power some of the cutting-edge use cases in enterprise, OTT and hospitality sectors. Talk to us for more.
COMPUTER VISION FOR WATER / STPS
- We consulted for an AI-based solution for smart water management and object detection, enabling real-time monitoring, leak alerts, and flood or intrusion detection for improved safety and efficiency.
- Talk to us for a demo.
3D PROGRAMMING / BENCHMARKING FOR AI
- We have experience in profiling and benchmarking different rendering pipelines, techniques and algorithms involving ray-tracing and others contributing to efficient IP development activities.
- Talk to us for a demo
ADVANCED CONVERSATIONAL CHATBOT FRAMEWORK
- We successfully embedded AI-first sales agents for an enterprise customer, Driving High Revenues with automatic cross-selling, upselling intelligence and impressive CSAT.
- Driven by deep market research for development. InferWorks helped with strategy and execution.
- Talk to us for a demo
OTT & MEDIA
- We undertook a massive Consulting Engagement to completely evaluate an SI's OTT Stack, Governance and Implementation Details.
- Our Report provided highly sophisticated finishings on Media Pipelines, Platform Engineering (CMS, SMS, Payments, AI Systems, Analytics, QoE, QoS, Data Lakes and Reports) and customer front-end applications (Android, iOS, Web, TVs)
- Our Report also included suggested improvements for Governance, Architecture, Code, DevSecOps, Security and AI Implementation Architectures for End Customer Apps.
- Talk to us for a demo
DIGITAL TWINS
- We successfully launched a Digital Twin product for Buildings, Villages, Towns and Smart City Plans.
- We offer Massive visualizations of Drone Imagery, Ortho mosaic files, 3d Point Clouds, 3d Meshes, vector layers, etc., and overlay them with telemetry data from Mobile Apps / third-party sources.
- AI-driven intelligence is embedded in the datasets by Conversational Chatbots and highly intelligent auto-evolving systems of reporting.
- Talk to us for a demo.
INFERWORKS CONSULTING
/Ascend with Intelligence
We are an AI Systems Company, building AI-first approaches by embedding true intelligence into your Business.
Learn how we engage with our Customers. Our Modalities of Engagement are transformative for your business
EVALUATE MATURITY. POSITION. POWER ON.
Our Journey starts by assessing our customers' AI Maturity. This helps our customer understand where they are in their maturity (current stage), assess their risks and next best actions (strategic and tactical modes). We also assess their unique USPs and position a roadmap for transformative outcomes even before we start.
CONSULTING MODALITIES
HOW WE EVALUATE AN ENGAGEMENT
At InferWorks, We Strive to engage the customer based on how different engagement models balance the ownership of risk and the level of involvement required from the client.
Models like Fixed Price and Managed Services place most of the delivery risk on the vendor and require minimal client oversight, making them ideal for clearly scoped projects. In contrast, models such as Staff Augmentation or Strategic Partnerships demand higher client engagement and shift more operational responsibility to the customer.
HOW WE WORK WITH OUR CUSTOMERS
We combine strategy, engineering, and continuous optimization to embed intelligence into core workflows. Our approach focuses on scalability, governance, and measurable impact—transforming isolated AI efforts into autonomous, production-ready systems that learn, adapt, and improve performance across revenue, operations, and customer experience.
HOW DO WE EVALUATE RISKS WITH YOUR AI MATURITY
Risks V/S Maturity
Our framework helps organizations choose the right model based on their internal capabilities, AI maturity, and desired level of control.
AI CENTER OF EXCELLENCE (AI COE)
- We've worked with Customer to build a BOT and an 'AI Centre of Excellence (AI COE)'
- AI Centre of Excellence (AI COE)is best suited for mid to large enterprises that are looking to move beyond isolated AI experiments and adopt a more structured, scalable, and enterprise-wide AI strategy.
- It is ideal for organisations that have multiple departments with AI use case potential, but lack centralised governance, standardisation, or technical best practices.
- Companies that have already run successful AI pilots and are now seeking to scale these initiatives across business units will benefit significantly from an AI COE.
- It is particularly valuable for firms in regulated industries—such as finance, healthcare, and telecommunications where ethical AI, compliance, and model governance are critical.
MANAGED SERVICES CONSULTING
- It is ideal for companies where AI is mission-critical—powering revenue, customer experience, or operations—and requires 24/7 reliability, performance tuning, and governance.
- Organisations that lack in-house expertise to manage MLOps, model lifecycle, data pipelines, and AI infrastructure at scale will benefit from a dedicated managed services model.
- It is particularly valuable for businesses experiencing model drift, performance degradation, or inconsistent outputs, where continuous monitoring and retraining are essential.
- Companies running multiple AI models across platforms (web, mobile, backend, data systems) can leverage managed services to ensure standardisation, observability, and seamless orchestration.
- It enables enterprises to move from one-time AI deployments to continuously evolving systems that learn, adapt, and improve over time.
- Managed AI Services are critical for organisations that need governance, compliance, and auditability, especially in regulated environments where AI decisions must be explainable and traceable.
- It is best suited for companies looking to reduce operational overhead and the cost of maintaining AI systems, while ensuring high availability, scalability, and security.
- Organisations aiming to transition from AI experimentation to AI-led operations can use managed services to ensure their systems are production-grade, resilient, and outcome-driven.