From your business problem to a model running in your environment — trained on your data, deployed where you need it. One team, end to end.
Powering data-driven teams across
Your data is growing. But insights aren't. Four problems that keep AI from moving past the pilot.
Critical signals are scattered across spreadsheets, ERPs, and vendor dashboards. Models starve before they start.
Off-the-shelf APIs return a number — never a reason. When the answer is wrong, you have no way to find out why.
Proofs-of-concept stay in notebooks. Months slip by on MLOps, integration, and procurement before anything reaches production.
Your data, your predictions, and your customers' experience end up rented back to you. Switching costs climb every quarter.
Production-grade results across manufacturing, retail, and food. The numbers below were measured, not promised.
A library of solutions we've shipped. Bring your data, get a working one.
Choose a starting point. We meet you where your data is.
Bring your historical data — production, transactions, operations, anything. We train a model on it and hand you an API or an on-prem runtime. You own the weights, the data, and the outcomes.
We build end-to-end AI applications on top of your private models or general-purpose LLMs — copilots, inspectors, forecasters, recommenders — wired into the systems your team already uses.
Five steps. Each one ends with a deliverable you can verify. Most projects ship in 4-6 weeks from kickoff.
We map your data, processes, and KPI targets in a single working session.
You share a representative slice of historical data. We assess quality and define the training set.
We train, validate, and benchmark. You receive a written report before any commitment.
We deliver a FastAPI endpoint or an on-prem package. We help your team integrate it.
Optional monthly tuning. We retrain on your newest data and ship the next model version.
Behind every solution. We pick the right model for the problem — not the other way around.
Anomaly detection on tabular and sensor streams.
anomaly_score > thresholdTime-series forecasting with seasonality handling.
forecast(t+1) = f(AR, I, MA)Long-horizon sequence modeling for complex temporal patterns.
h_t = σ(W·[h_{t-1}, x_t])High-accuracy tabular prediction across structured business data.
F_m(x) = F_{m-1}(x) + ν·h_m(x)Streaming and event-sequence classification.
y_t = softmax(V·h_t)Bespoke architectures engineered for your data shape.
architecture(X_train, domain)Domain adaptation, retrieval, and prompt pipelines for text and knowledge.
retrieve(docs) → generate(answer)Five things we do differently to make production AI actually work. The technical work that backs them up.
Bayesian-tuned ensemble trees for high-accuracy tabular prediction.
Numeric, categorical, and historical statistical features extracted per domain and process.
Ensembled with tree models for smoother generalization on unseen segments.
Quartile + Isolation Forest to drop bad samples before training.
Standalone build, hot-reloadable, safe on unknown inputs.
Quick answers to common questions about our platform and process.
We reply within one business day. No sales pressure — start with a free data assessment.
Or reach us at support@ksyai.com