AI & Data Solutions
For teams with a real workflow, available data, and a need for safer AI assistance, retrieval, labeling, or analytics. AIS starts narrow, validates outputs, and expands only where the pilot holds up.
What this includes
Pressure it removes
Delivery process
Data Assessment
1-2 daysEvaluate the workflow, knowledge base, raw data, quality constraints, and risk points.
Schema Design
1-2 daysDefine retrieval, labeling, validation, prompts, or guardrails before the pilot build.
Pilot Build
2-4 daysShip a narrow assistant, labeling flow, RAG test, or analytics workflow for review.
Pilot Expansion
1-3 weeksExpand the working pilot to approved data, handoff states, monitoring, and quality checks.
Delivery & Validation
1-2 daysValidate outputs, document limits, and prepare the next phase only if the first release holds up.
Related public example
AI-powered data labeling project
Dataset preparation and annotation for a machine learning image classification project, ensuring high-quality training data.
Frequently Asked Questions
- How can AI help my business become more efficient?
- AI can automate document processing, power customer support chatbots that work around the clock, provide predictive analytics for inventory and demand forecasting, automate data entry from emails and forms, and deliver personalized recommendations to your customers.
- Do you build custom AI chatbots for businesses?
- Yes. We develop conversational AI using OpenAI GPT, Claude, and open-source models with RAG that can access your company knowledge base. Our chatbots integrate with CRM, helpdesk, and e-commerce platforms.
- What kind of data labeling services do you provide?
- We provide image classification and object detection labeling, text annotation for NLP models, video frame annotation, and database structuring. Our process includes quality assurance workflows for high-accuracy datasets.