# Data & Cloud > Twistag builds AI-ready data platforms, pipelines, vector storage, retrieval indexes and governance on AWS, Google Cloud and Azure. AI-ready data, on infrastructure the business controls. Twistag designs, builds and runs the platforms, pipelines and integrations that reports, teams and agents read from every day. - Millions of data flows processed every day across client platforms. - 50+enterprise integrations built between core systems. - 100%of code, infrastructure and data owned by the client. - ISO 27001 practice behind every platform Twistag delivers. Most AI stalls on data: spread across systems, out of date and owned by no one. Twistag builds the layer underneath, so reports, teams and agents all work from the same current numbers. ## What Twistag builds ### Three parts of one working system. Most engagements combine all three. ### One trusted source for every number. Pipelines, warehouses and retrieval indexes that keep data current and in one place. Reports, dashboards and multi-agent systems all read from the same layer. ### Data with an owner, a history and rules. Quality, lineage and access controls are defined with the people who own each domain, so every figure can be explained and every agent only sees what it should. ### Every core system in sync. Agents and teams are only as useful as the systems they can reach. Twistag connects CRM, ERP, CDP and marketing platforms with real-time events, and builds the tool connections agents call. ## Find where data pays back first. Pick an industry and the teams to support. The list shows data projects companies like it are running, and what each one changes for the business. ## Data stays where it belongs. Personal and regulated data is mapped, minimised and kept in the client’s own cloud in the EU. Every access is logged, and every pipeline has an owner. - EU data residency Data stays in the client’s own cloud account, in EU regions. - GDPR by design Personal data mapped, minimised and deleted on schedule. - Role-based access Least-privilege access for people, services and agents. - Lineage and audit Every change to data and schema recorded with its source. - Backups and recovery Tested restores and documented recovery times. - ISO 27001 practice Delivery follows ISO 27001 controls, with evidence ready for audits and procurement. ## Every platform proves its value before it grows. The audit and the first data product are small and fixed in time. The platform grows once the number agreed with leadership has moved. - 01 · 2–3 weeks Audit the data Map sources, owners and quality, and what fixing each gap is worth, with the people who use the data. - 02 · 6–8 weeks Prove one data product One pipeline or dataset in daily use, measured against the number agreed with leadership. - 03 · Quarters Build the platform More sources, domains and teams on the same governed foundation, each faster than the last. - 04 · Ongoing Run and hand over Monitored pipelines, runbooks and a client team that owns the platform end to end. Not sure where to start? Data Strategy & Governance: a value map of the data that matters, and one owner per key metric. Data roadmap already set? Three ways to bring a senior team in: a fixed-scope project, forward deployed engineers, or a partnership. ### Three ways to bring Twistag into a data plan that is already set. #### Fixed-scope project Best forIT and data leaders with a clear scope, budget and date: a migration, warehouse or platform, built and handed over. - Fixed price and cutover date, agreed before the start - Data quality checks written with the team up front - Infrastructure as code and documentation handed over in full #### Forward Deployed Engineering Best forAn approved data roadmap that needs senior engineers who think like operators, inside the company’s own teams. - One to three senior data engineers, each with agents - Side by side with the analysts and operators - In the company’s cloud, tools and rituals #### Partners and portfolios Best forCompanies that build AI, data and product with Twistag: tech companies, consulting and PE firms. - Senior capacity for a tech company’s own roadmap - Tech delivery for consulting firm’s clients - AI playbooks rolled out across PE portcos ## Data platforms already at work. Recent Data & Cloud work, measured the way each client’s leadership measures it. ## Built on what the company already runs. Twistag works across the major clouds and warehouses, and extends the platforms already in place before adding anything new. - Partner - ISO 27001 Practice Cloud AWS, Google Cloud, Microsoft Azure Warehouses Snowflake, BigQuery, Databricks, Redshift Pipelines and ETL dbt, Apache Airflow, Airbyte Streaming Apache Kafka, Amazon Kinesis Vector and search Pinecone, pgvector, Elasticsearch, Supabase AI models Anthropic, OpenAI, AWS Bedrock ## About Data & Cloud. What does a data project cost? Cost follows scope: the systems to connect, how mature the current data layer is, how much review is needed and how long the team stays. Discovery takes two to four weeks and a first data product six to twelve. A proposal follows within a week of the first call. How soon can work start? A thirty-minute call, a written proposal within seven days, and a discovery sprint of two to four weeks to confirm scope before the build. Who owns what is built? The client owns everything: source code, infrastructure as code, pipelines, models, evaluation datasets and documentation, handed over in full with training for the team. Does the company need a data platform before starting with AI? No. Twistag works with companies at any stage of maturity, and data preparation comes first wherever it is needed. How does Twistag work with the internal team? Inside the client’s own infrastructure and workflow, with shared backlogs, stand-ups and definition of done. Teams can be extended, or the work can be run end to end. Can the internal team run the platform afterwards? Yes. Build, train and transfer is one of Twistag’s operating principles: engineers pair during the build, every system is documented, and handover walkthroughs happen before the engagement ends. ## Data & Cloud services. ### AI & Agents Agents that take on operational work across company systems, with people approving what matters and every decision traced. ### Product Engineering AI-native products and internal tools, and the platforms around them, designed, shipped and run by the same team. ## Bring the data problem that slows decisions down most. Thirty minutes with a senior engineer, and an honest view of what proving it would take. A senior lead replies within one working day. --- Source: https://twistag.com/data-cloud