Dashboards show what happened; AI analytics explains why and predicts what is next. Our AI analytics and business intelligence services combine solid BI foundations with natural-language access and predictive insight.
From "build us real dashboards" to "let managers ask questions in plain English and get charts back" - we deliver the data stack, the intelligence layer, and the adoption.
Warehouses and dashboards (Metabase, Power BI) built on clean pipelines.
Plain-language questions answered with charts and verified SQL.
Forecasts and trends layered onto reporting where they change decisions.
Unusual movements in revenue, costs, and operations flagged automatically.
AI-written summaries explaining the numbers - delivered on schedule.
Rollout that makes data the way decisions actually get made.
We identify where AI genuinely saves money or creates revenue in your business - and where it does not.
Your data, systems, and constraints are assessed to pick the right approach and models.
A working proof-of-concept measured against real business metrics before full investment.
Production-grade AI integrated into your existing tools, workflows, and applications.
Models and automations are monitored, retrained, and refined as your data evolves.
We start from ROI, not hype. If a simple script beats a model, we will tell you.
GPT-class LLMs, open-source models, and classic ML - chosen per problem, not per fashion.
AI that plugs into the tools you already use - websites, CRMs, ERPs, and messaging apps.
Architectures that respect your data ownership, compliance needs, and customer privacy.
Start with a focused pilot from Kathmandu at a fraction of Western agency rates.
AI is not fire-and-forget. We monitor, retrain, and tune so quality never silently degrades.
AI Analytics & BI services are available across Nepal - with on-the-ground support in these cities - and remotely for clients worldwide. Explore more AI Services services or talk to our team about your project.
A manager types "compare this quarter's sales by branch against last year" and gets the chart, the numbers, and the SQL that produced them - verifiable, not oracle-like. LLM-generated queries run against a governed semantic layer, so answers stay consistent with your definitions of revenue, margin, and the rest.
That is the right order - BI foundations first: pipelines, a warehouse, and core dashboards deliver immediate value, and the AI layer then builds on clean, defined data. Skipping foundations to bolt AI onto spreadsheet chaos produces confident wrong answers; we will not build that.
Governed semantics: metrics defined once in a semantic layer, AI queries constrained to it, generated SQL shown for verification, and sensitive tables access-controlled. The AI is a fast analyst working within your rules - spot-checkable at any moment, which is exactly what builds trust.
The dependable ones: sales and cash-flow forecasting, inventory demand, receivables risk, and seasonal planning - modest models on your history beating gut feel measurably. We start where prediction changes an actual decision (ordering, staffing, collections), not prediction for its own sake.
Metabase for most SMEs (open-source, friendly, self-hostable), Power BI where Microsoft licensing and Excel culture run deep, Grafana for operational/technical metrics. The warehouse and semantic layer underneath matter more than the tool - those we build tool-agnostic.
Get a free consultation and a no-obligation quote from our team in Kathmandu.
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