Generative AI
LLM-powered products, retrieval-augmented generation, custom fine-tuning, and GenAI features engineered for real users, not demos.
Learn more →Artificial Intelligence
AI that ships—from first prototype to production scale.
Tiso builds applied AI that earns its place in production. From generative systems and agentic workflows to computer vision, language, and the MLOps backbone that keeps them reliable, we turn AI ambition into engineered, measurable outcomes.
3xFaster path from prototype to production
99.9%Inference & pipeline uptime
100%Governed, explainable, auditable
AI Overview — Artificial Intelligence
Tiso Studio delivers end-to-end artificial intelligence engineering for founders and enterprises. We build generative AI and agentic systems, machine learning and predictive analytics, computer vision, and natural language processing—backed by production-grade MLOps, secure data pipelines, and AI governance. We carry AI from strategy and data through model development, evaluation, deployment, and ongoing operation.
Capabilities
The full spectrum of applied AI
One team across every layer of the AI stack—from the frontier of generative and agentic systems to the classical ML and platform engineering that make them dependable.
Agentic AI & Autonomous Systems
Multi-step agents that reason, call tools, and act—orchestrated safely with guardrails, memory, and human oversight.
Learn more →Machine Learning & Predictive Analytics
Forecasting, recommendation, classification, and ranking models that turn your data into decisions and revenue.
Learn more →Computer Vision
Image and video understanding—detection, segmentation, OCR, and quality inspection running reliably at scale.
Learn more →Natural Language Processing
Search, extraction, summarization, and conversational interfaces that make unstructured text genuinely useful.
Learn more →MLOps & ML Platforms
Model CI/CD, feature stores, monitoring, and drift detection—the backbone that keeps AI dependable in production.
Learn more →Data Science & Experimentation
Rigorous R&D, evaluation harnesses, and offline/online testing that prove a model earns its place before launch.
Learn more →AI Strategy & Enablement
Feasibility, roadmaps, responsible-AI guardrails, and team enablement so your organization can build AI that lasts.
Learn more →Agentic AI
Agents that don't just answer—they act
The leap from chatbots to agents is the leap from advice to action. We build systems that reason through a goal, call the right tools, and complete multi-step work—always inside guardrails, always with a human in control of what matters.
- Planning and reasoning that decompose goals into reliable, ordered steps
- Safe tool use against your real APIs, with permissions and rate limits
- Memory and state so agents handle long, multi-turn workflows
- Human-in-the-loop approvals on every action that carries real consequence
How We Deliver
From idea to operating AI, in six disciplined phases
Explore our delivery lifecycle. Great AI isn't a lucky model—it's a repeatable process that treats data, evaluation, and operations as first-class citizens.
Phase 01 · Frame
Start with the problem, not the model
We define the decision the AI must improve, pressure-test feasibility, and agree on the metrics that will prove success—before a single model is trained.
100%Scoped to measurable success criteria
Phase 02 · Data
The unglamorous work that decides everything
Models are only as good as what feeds them. We source, clean, and pipeline your data, engineer features, and set up labeling so training rests on solid ground.
10xCleaner, ML-ready data pipelines
Phase 03 · Build
Where the intelligence takes shape
From fine-tuned LLMs and RAG to classical ML and agent orchestration, we build the approach that fits the problem—not whatever is trending this quarter.
3xFaster model iteration cycles
Phase 04 · Evaluate
Trust is earned on the test set
We build evaluation harnesses, red-team for failure modes, benchmark against baselines, and keep a human in the loop—so quality is measured, never assumed.
100%Models gated by rigorous evaluation
Phase 05 · Deploy
From notebook to production traffic
We integrate models into real products with scalable inference infrastructure, latency budgets, and safe rollout patterns like canaries and shadow testing.
99.9%Inference uptime at production scale
Phase 06 · Operate
AI is a system, not a launch
Post-launch is where AI lives or dies. We monitor performance, watch for drift, retrain on fresh data, and govern the whole lifecycle with full auditability.
24/7Monitoring & drift detection
Responsible by Design
Powerful AI is easy to demo and hard to trust. We build for trust.
Anyone can wire up an impressive prototype. Shipping AI that behaves safely under real traffic—explainable, monitored, and governed—is the actual work. We engineer for the day after launch, not just the demo.
Explainable Outputs
Reasoning, sources, and confidence surfaced so people can verify AI before they rely on it.
Guardrails & Evaluation
Continuous evals, red-teaming, and safety rails that catch failure modes before your users do.
Governed & Observable
Full lineage, monitoring, and audit trails across every model and every decision it makes.
Case Studies
AI systems we've engineered
Representative builds from the Tiso ecosystem—generative, agentic, and vision systems shipped to production.
Generative AIRA
RAG Knowledge Assistant
A retrieval-augmented assistant grounded in a client’s private knowledge base, with citations and guardrails against hallucination.
92%Answer accuracy
60%Less support load
Agentic AIAA
Autonomous Ops Agent
A tool-using agent that triages requests, calls internal APIs, and completes multi-step workflows under human approval.
4xFaster resolution
24/7Coverage
Computer VisionVI
Visual Quality Inspection
A vision pipeline that flags defects in real time on the production line, escalating edge cases for human review.
99.4%Detection rate
Real-timeInference
Related Services
The engineering around your AI
Production AI never stands alone. Explore the disciplines that surround and support it.
Data Engineering
Secure, high-speed pipelines that turn raw data into decisions.
Cloud Transformation
Resilient, scalable cloud architecture across AWS and Azure, built to grow.
Automation Services
Intelligent workflows and agents that eliminate operational friction.
Product Engineering
End-to-end product engineering, from MVP to a platform that scales.