We train and fine-tune AI models on your data — then deploy them in your environment. No black boxes. No vendor lock-in.
Powering data-driven teams across
Four problems that turn promising pilots into shelfware.
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.
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.
Production-grade algorithms we have trained, tuned, and shipped. We compose the right ones for your problem.
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)A library of use cases we have already built and adapted for clients. Bring your data, get a working solution.
We have shipped on production lines. We can ship on yours — whatever the industry.
A disciplined process and a deployment architecture designed for production — not demos.
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.
Five steps. Each one ends with a deliverable you can verify.
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.
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