We design and build custom AI, software, automation, and intelligent systems for complex business and operational problems.
We start with the problem, not the technology.
Depending on the challenge, the answer may be AI, machine learning, software engineering, automation, cloud infrastructure, hardware integration, or a combination of these.
Combined as the problem requires. A single project may span models, software, infrastructure, and hardware.
Custom ML and DL models built around your data: prediction, classification, anomaly detection, NLP, and computer vision.
AI calling, voice agents, chatbots, WhatsApp and SMS agents, speech processing, diarization, and transcription.
Business automation, process orchestration, document and data workflows, and system integrations.
Web and mobile applications, dashboards, internal platforms, APIs, and backend systems shaped to how your business actually operates.
On-device inference, sensor systems, medical and industrial hardware, and embedded intelligence.
Phone calls, website chat, and WhatsApp and SMS agents on one platform: telephony, agent logic, speech pipelines, and answers drawn from your own documents.
Tracking that continues through AIS blackouts, ship detection through cloud and haze, range from any uncalibrated camera, and anomaly detection over learned routes.
Silicosis screening on portable X-ray hardware, smartphone urinalysis without a lab reader, and murmur detection at 92% accuracy on a $25 stethoscope. Every model runs on the device.
Study the business problem, workflow, constraints, users, and data.
Agree what the system must do and how success will be measured.
Determine the appropriate architecture and technology.
Engineer the software, models, integrations, or hardware components.
Integrate into the real operational environment.
Monitor, maintain, optimize, and extend the system.
We are engineers first. We work across AI, software, cloud, and hardware, and we engineer around real constraints rather than around a preferred stack.
Technology chosen for the problem, never every problem forced into the same stack.
AI, software, cloud, APIs, automation, and hardware integration, combined when required.
Deployable, maintainable systems rather than prototypes that stop at the demo.
Comfortable across industries, technology stacks, and unfamiliar problem domains.
Conversational AI and voice systems: telephony, real-time audio pipelines, agent orchestration, and the evaluation work that keeps them dependable once they are carrying live traffic.
zeeshanlone.comApplied computer vision for the environments that break most models: maritime intelligence from AIS and satellite imagery, and medical AI that has to run on the device rather than in a data centre.
faisel.inTell us what is difficult, repetitive, inefficient, or technically challenging. We will help determine what should be built.
Or write to contact@lojits.com with a short description of the problem.