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Human Signal Pvt. Ltd

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Kathmandu, Nepal
Empowering organizations to realize value from data at scale.
HuSig is a data and AI consulting firm based in Kathmandu, Nepal, helping growth-stage companies and enterprises turn data into measurable business value. We operate as a full-service data team for our clients — covering analytics, artificial intelligence, data engineering, and operations research under one engagement, without the overhead of building an in-house department. Our analytics practice delivers custom applications, dashboards, and integrations that surface decision-ready insights. Our AI practice spans production-grade machine learning, generative AI, LLM engineering, computer vision, and MLOps — taking clients from strategy through to deployed, maintainable systems. Beneath it all, we build the data infrastructure that makes everything work: scalable pipelines, cloud architectures, and modern data platforms including Snowflake, Spark, and dbt. Our operations research capability applies optimization and simulation to improve resource allocation, logistics, and operational efficiency. We also develop proprietary products — Fabri for data integration, Incog for privacy-sensitive environments, and Harmony for multi-source data coherence — reflecting our conviction that the best firms don't just advise, they build. We engage through project-based delivery, staff augmentation, and on-demand support. Our team are practitioners first: we don't recommend what we haven't built, and we don't leave until it works in production.
7 people in their team
Speaks English, Nepali, Hindi
1 project in their portfolio
Works remotely across the globe
Sortlist member since 2026
Founded in 2025
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  • Description
    Our AI practice covers the full spectrum from traditional machine learning to cutting-edge generative AI, and we treat each engagement with the same engineering rigor regardless of where it sits on that spectrum. On the machine learning side, we build, train, and deploy production-grade models across a wide range of use cases, including predictive analytics, classification, anomaly detection, recommendation systems, and demand forecasting. We bring MLOps discipline to every deployment, which means the models we deliver are monitored, maintainable, and designed to remain reliable as data distributions shift and business requirements evolve. Our generative AI capability encompasses large language model engineering and fine-tuning for domain-specific applications, retrieval-augmented generation architectures, AI-powered content and workflow automation, and the evaluation frameworks needed to ensure these systems behave reliably in production. We work with organizations to move beyond proof-of-concept into systems that are genuinely integrated into their operations. We also apply computer vision for image and video analysis use cases, and support data annotation and curation pipelines to ensure that the models we build, or that clients deploy independently, are trained on inputs of sufficient quality to perform. For organizations still navigating AI adoption, we offer strategy and consulting engagements that help leadership teams move from aspiration to execution: assessing readiness, prioritizing use cases, selecting the right tools and architectures, and building the internal capacity to sustain AI initiatives over time.
    Skills in Artificial Intelligence (10)
    Machine LearningData ScienceAI DevelopmentAI ExpertiseChatGPT ConsultingAI StrategyLarge Language Models (LLM)AI AgentsConversational AIData Annotation

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    Skills in Data Consulting (6)
    Data AnalyticsData ScienceData EngineeringData ReportingData MonitoringData Annotation
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  • HeadquarterChandol Marg, Kathmandu, Nepal