Production-Ready AI in 6 Weeks
For modern enterprises, artificial intelligence is no longer a research project—it is an operational engine. At Thread Infotech, our cognitive engineering practice focuses on designing custom agents and machine learning pipelines that integrate directly into your legacy systems (including SAP ERP) to automate high-friction tasks.
Whether you need LLM-powered internal chatbots that navigate thousands of pages of company docs, voice-activated qualification systems, or custom regression algorithms that prevent machine failures in manufacturing, our squads deliver working code in sprints.
AI & ML Capabilities
We build the automated systems, apps, and predictive models that turn complex data points into revenue pipelines.
AI Agents & Workflow Automation
When your business needs hands that do not sleep. We develop custom agent collectives that coordinate tasks, validate leads, auto-resolve software tickets, and automate notifications via direct WhatsApp hooks.
- Multi-agent choreography (n8n, LangGraph)
- WhatsApp and Slack system alert loops
- Automated CRM data enrichment
Custom AI Apps & Chatbots
When your users or teams need instant, accurate answers. We build production-grade Retrieval-Augmented Generation (RAG) applications that read your corporate docs, PDF databases, and spreadsheets safely.
- RAG-powered secure internal knowledge bases
- Proprietary vector database setup & embedding
- Branded customer-facing support portals
Machine Learning Development
When you need to turn historical datasets into accurate predictive outputs. We engineer regression, clustering, and anomaly detection models, as well as computer vision systems for quality control in manufacturing.
- Manufacturing anomaly detection & failure prediction
- Computer vision QA and camera scanning pipelines
- Sales forecasting & inventory optimization algorithms
AI Strategy & Enablement
When you need a solid roadmap before writing code. We execute data-readiness audits, map operational bottlenecks to high-ROI AI use cases, and train your engineering teams on secure model hosting.
- 12-month AI feasibility roadmaps
- Corporate data governance & security frameworks
- Model selection and API cost estimation audits
How We Build
Most AI solutions ship in 4 to 6 weeks. Here is our structured delivery model.
Discovery Call
20-minute scoping call. We listen to your operational friction points, evaluate feasibility, and highlight what is possible.
Scope & SOW
We deliver a fixed-price statement of work containing a complete feature breakdown, system architecture draft, and weekly targets.
Weekly Demos
Agile engineering sprints with working code from day one. You join weekly visual demo calls to test intermediate agent flows.
Handoff & Live
Full IP transfer. We deliver all source code, models, vector store keys, and custom dashboards. Support plans are completely optional.
Initiate an AI Scoping Session
Let us outline the system architecture for your AI requirements. Submit your business bottleneck, and our engineering leads will prepare a custom blueprint ahead of our scoping call.
AI Consultation Request
Connect with our cognitive developers for a private audit.