We build multi-agent AI systems, custom LLMs, computer vision and MLOps infrastructure that work in production — not just in demos. For companies, and as the white-label AI team behind software agencies.
From autonomous agents to production MLOps, we cover the full AI stack, and every system ships with evaluation, monitoring and a clear owner.
Multi-agent orchestration, tool-use pipelines and self-healing workflows that complete real tasks end-to-end, with guardrails, audit trails and human approval where it matters.
Fine-tuning, evaluation suites and private deployments: models that know your domain, not the public internet.
Detection, inspection, OCR and real-time video analytics, from edge GPUs to cloud pipelines.
Assistants, copilots and voice agents that retrieve from your documents and systems, cite their sources and measure answer quality before and after launch.
Intelligent document processing, email and ticket triage, reconciliation and reporting, with validation and exception queues built in.
CI/CD for models and prompts, monitoring, drift detection and retraining so AI keeps working after go-live.
Pick a scenario. Each run shows how our agents plan, retrieve, use tools, check guardrails and hand off to a human when it matters. These are simulations of patterns we build.
We find the highest-value use case, prove it with a working PoC on your data, then build, integrate and operate it.
Your clients are asking for AI. You keep the relationship and the margin; we deliver the AI layer to your standards, under NDA.
How partnerships work → · or email partnerships@wyncrestai.com
Clinical documentation, patient communication and operations automation, built with privacy first.
Risk, fraud and compliance workflows where accuracy and audit trails are non-negotiable.
Personalisation, demand planning and customer service that scale with your catalogue.
Operations intelligence across shipments, warehouses and fleets.
Faster review and research with every answer traceable to its source.
Vision and predictive systems on the shop floor, from edge to cloud.
AI features your customers use every day, shipped under your brand.
Forecasting and market operations on high-volume weather and grid data.
Document-heavy transactions and lead handling, automated.
Two clicks. We'll suggest a first build, a PoC scope and the metric that proves it works.
Your industry
Biggest bottleneck
Pick an industry and a bottleneck to see a recommended first project.
View case study ↗Autonomous, Compliance-First B2B Outbound Platform
View case study ↗Real-Time Multilingual AI Voice Orchestration Platform
View case study ↗Enterprise Autonomous Agentic Operations & Workflow Intelligence Platform
View case study ↗Enterprise Retrieval-Augmented Knowledge & Citation Intelligence Platform
View case study ↗Enterprise Real-Time Biometric Recognition & Edge Vision Platform
View case study ↗Enterprise Real-Time Industrial Safety & EHS Intelligence Platform
View case study ↗Enterprise Conversational Booking & Reservation Intelligence Platform
Measured engineering results from the systems in our case studies.
Voice-agent response latency
KoelAI Speech Fabric →Concurrent AI voice sessions
KoelAI Speech Fabric →Video frame processing (from 450ms)
SentinelVision →Retrieval citation precision
AeroQuery →PPE & safety-zone detection precision
SafeAct Vision →Validated natural-language → SOQL accuracy
ApexFlow →We map workflows, data and constraints, then rank the highest-value AI opportunities. You get a written plan, even if you don't hire us.
~1 weekA working system on your data with success metrics agreed up front. Something you can click, not a slide deck.
2–4 weeksIntegration with your stack via APIs, security review, evaluation suites, monitoring and a zero-downtime rollout.
4–10 weeksMonitoring, drift detection, iteration and support, or a clean handover with documentation to your team.
OngoingEvaluation, monitoring, security and cost control are part of every build, not an afterthought.
The people who scope your system are the people who build it.
OpenAI, Anthropic, Gemini or open-source models, chosen per task on quality, cost and privacy.
NDA/DPA before any data access; private-cloud and VPC deployments available.
We plug AI into the systems you already run, through APIs.
Success metrics are agreed before we build and reported after we ship.
A focused review of your workflows and data with a prioritised, costed AI roadmap.
Fixed scope · ~1 weekOne use case, built on your data and measured against agreed metrics.
Fixed scope · 2–4 weeksEnd-to-end delivery: integration, security, evaluation and deployment.
Fixed price after discoveryWhite-label delivery for agencies, embedded engineers or ongoing MLOps.
Monthly or per sprintDiscovery takes about a week and a proof of concept 2–4 weeks. Production builds typically take 4–10 weeks depending on data readiness and integrations. You get a fixed timeline and quote at the end of discovery.
Not always. Many LLM and agent use cases work with the documents and systems you already have. Where training data is thin we use foundation models, retrieval, transfer learning or synthetic data. We assess this in week one.
We agree success metrics before building, test against held-out examples and evaluation suites, add guardrails and human approval where the risk warrants it, and ship monitoring so quality stays visible after launch.
Yes. We deliver through REST APIs, SDKs or direct integration with CRMs, ERPs, ticketing, data warehouses and cloud platforms, with no rip-and-replace.
Yes. We act as a white-label or co-branded AI engineering team: you own the client relationship and the margin, and we deliver to your standards and processes under NDA.
We sign an NDA/DPA before seeing any data, use it only for your project, support private-cloud, VPC and on-premise deployments, and never use your data for other clients.
Assessments and PoCs are fixed scope. Production builds are quoted as a fixed price after discovery. Ongoing support and partner capacity are monthly or per sprint. No surprise invoices.
We are vendor-neutral: OpenAI, Anthropic, Google Gemini and open-source models, deployed on AWS, Google Cloud, Azure or your own infrastructure.
We'll map your top AI opportunities and suggest a first step — even if you never hire us.
Demos, partnerships or a problem you want solved — a senior engineer reads every message.
We reply within one business day.
