01
LLM Applications
Production-grade assistants and copilots built on the best-fit model, with streaming, tool use and observability from day one.
Enterprise AI · LLM services
Enterprise AI
that ships.
WinTech designs, builds and runs LLM applications, knowledge systems and AI agents that deliver measurable results, from first audit to production.
WINTECH // SHOWREELLIVE
// 01 · Services
From idea to production AI.
Six capabilities that cover the full lifecycle, so you work with one accountable team.
02
RAG & Knowledge Systems
Turn contracts, wikis and tickets into grounded, cited answers with secure retrieval and access control.
03
AI Agents & Automation
Multi-step agents that act inside your CRM, ERP and support stack, with human approval where it matters.
04
AI Strategy & Readiness
A focused audit of data, risk and ROI that ends in a ranked roadmap, not a slide deck gathering dust.
05
Evals & Guardrails
Test suites, red-teaming and monitoring so quality and safety are measured, not assumed.
06
Deployment & MLOps
Run on your cloud or VPC with cost controls, model routing and clean handoff to your team.
// 02 · How we work
Four steps. Measurable at each one.
One task, clear owners, and a decision point before every stage.
STEP_01
Discover
Map workflows, data and risks. Pick the use case with the clearest payoff.
STEP_02
Pilot
Working prototype on your real data in weeks, judged against agreed metrics.
STEP_03
Production
Harden, integrate, secure and ship with evals and rollback in place.
STEP_04
Operate
Monitor quality and spend, iterate, and train your team to own it.
// 03 · Trust
Built for real work, with control.
Every item below is a design decision you can verify in your own environment.
Your data stays yours
We never train models on client data. Retention is configurable or zero.
Runs in your environment
Deploy in your cloud account or VPC with your identity and access controls.
Human in the loop
Approval steps for sensitive or irreversible actions, with full audit trails.
Model-agnostic
We pick and swap models per task so you are never locked to one vendor.
Measured quality
Every release is gated by evals on your own test cases.
Transparent cost
Usage and spend are visible, capped and attributed per workflow.
// 04 · Use cases
Where AI pays off first.
◆
Customer Support
Draft replies, triage tickets, deflect repetitive questions.
◆
Operations
Extract, reconcile and route documents and requests automatically.
◆
Sales & Marketing
Research accounts, personalize outreach, summarize calls.
◆
Legal & Finance
Review contracts, flag exceptions, answer policy questions with citations.
// 05 · Engagements
Start small. Scale what works.
Fixed-scope entry points. Tell us your goals and we'll propose the right one.
1-2 weeks
AI Audit
- ✓Use-case discovery & scoring
- ✓Data and risk review
- ✓Ranked roadmap with ROI
4-8 weeks
Pilot Build
- ✓Working prototype on real data
- ✓Evals and success metrics
- ✓Architecture for scale
// 06 · FAQ
Frequently asked questions
What does WinTech do?+
We design, build and operate AI systems for businesses: LLM applications, retrieval over your knowledge, and agents that automate workflows.
Which models do you use?+
Whichever fits the task and your constraints: leading hosted models or open models running in your own environment. We stay model-agnostic.
Will our data be used to train models?+
No. We configure providers with zero-training terms and can keep everything inside your cloud account.
How fast can we see something working?+
Most pilots reach a working prototype on your real data within a few weeks of kickoff.
How do you measure success?+
We agree on metrics up front, such as accuracy, time saved and cost per task, and gate each release with automated evals.
How do we get started?+
Book a call. We'll discuss your goals and propose a short audit or pilot with a fixed scope.