AI strategy & consulting ↗
Use-case discovery, architecture, model selection, roadmaps, feasibility and responsible deployment.
FULL-SERVICE AI + DATA + GROWTH AGENCY
Choose a specialist service or combine several into one engagement. AIStak can move from strategy to implementation, analytics and growth without handing the project between disconnected suppliers.
Discuss your goals →AI & AUTOMATION
Use-case discovery, architecture, model selection, roadmaps, feasibility and responsible deployment.
AI-native products, internal tools, copilots and production AI software.
Assistants, copilots, extraction, generation and model-powered product features.
Tool-using agents, multi-step workflows, memory, orchestration and approvals.
Ground LLMs in private documents, databases and knowledge sources.
Semantic search, vector databases, similarity systems and hybrid retrieval.
Enterprise search, internal assistants and permission-aware knowledge retrieval.
Automate support, sales, operations, document workflows, research and repetitive knowledge work.
Connect models and agents to CRMs, databases, APIs, messaging and operational systems.
System prompts, structured outputs, context design and workflow reliability.
Benchmark quality, retrieval, hallucination, latency, costs and production readiness.
Take AI-builder prototypes further with custom engineering, APIs, backend logic and production fixes.
DATA SCIENCE & MACHINE LEARNING
Analysis, experimentation, statistical modelling and end-to-end data science projects.
Classification, regression, forecasting, recommendation, anomaly detection and predictive systems.
Data cleaning, transformation, feature engineering, ETL and model-ready datasets.
Dashboards, BI, KPI systems and visual storytelling for decision-makers.
WEB & DIGITAL GROWTH
Fast, modern, conversion-focused websites and web applications.
Technical SEO, information architecture, content strategy, schema and organic search growth.
Content systems, channel strategy, repurposing workflows and measurable social growth.
Structured content, schema, llms.txt, crawler access and machine-readable signals for AI-assisted discovery.
That is the advantage of the model. An AI product may also need data engineering, a dashboard, a high-converting website and SEO. AIStak can connect those pieces into one strategy.
Start a project →