01
Generative AI and LLM applications
Secure assistants, content systems, copilots, and conversational applications built around your workflows and data.
Custom AI engineering
Kindforth designs and builds production-ready AI systems around real business problems. From intelligent assistants to computer vision and predictive models, we help Sri Lankan companies move from an idea or dataset to a secure system their teams can use.
Capabilities
01
Secure assistants, content systems, copilots, and conversational applications built around your workflows and data.
02
Agents that retrieve trusted company knowledge, use business tools, and complete controlled multi-step tasks.
03
Classification, recommendation, forecasting, anomaly detection, and predictive models trained for your use case.
04
Neural network solutions for complex image, language, audio, and high-dimensional data problems.
05
Image and video analysis for detection, inspection, monitoring, recognition, and operational intelligence.
06
Document extraction, multilingual text processing, semantic search, summarization, and sentiment analysis.
07
Reliable APIs, cloud deployment, monitoring, evaluation, security, and continuous model improvement.
08
Fast feasibility work to validate data, risk, cost, and expected value before a larger investment.
Who it is for
Our primary focus is helping Sri Lankan companies apply modern technology in a commercially sensible way. We can also deliver remotely for international teams.
A clear delivery process
01
Understand the business problem, users, constraints, data, and measurable definition of success.
02
Shape the solution, validate key risks, and create a phased technical and delivery plan.
03
Develop in focused iterations with demonstrations, feedback, testing, and clear progress visibility.
04
Launch, monitor real usage, support your team, and improve the system using evidence.
Common questions
Yes. Our AI development work includes machine learning, deep learning, generative AI, computer vision, natural language processing, predictive analytics, and the engineering required to deploy those systems reliably.
Yes. We first assess the quality, sensitivity, and suitability of your data, then recommend an approach such as retrieval-augmented generation, custom machine learning, fine-tuning, or a hybrid system.
Yes. Sri Lankan SMEs and growing companies are our primary focus. We scope projects in practical phases so a business can validate value before investing in a larger rollout.
Yes. We handle application engineering, integrations, model evaluation, deployment, monitoring, access control, and ongoing improvement—not only the initial model or demonstration.