Latticework Advanced
An Advanced Engineering Team for building custom Al, Data Science, ETL, Models & System Integrations
Build Advanced "Al Data Stacks" → Advanced "Data Pipelines" → Advanced "Data Models" → Advanced "Data Culture"
Any successful brand will eventually need to reckon with serious system integration questions.
Even for brands who've begun to mature and have already built out the “basic” components of an AI Data Stack (like Agent Prompts, LangChain Workflows, and Evaluations) or a Data Stack (like Fivetran ETL pipelines, Snowflake data warehouses, and Tableau dashboards) it can be a constant struggle to adapt to the ever changing landscape of SaaS data systems.
SaaS Proliferation - New SaaS platforms that manage Agents, Ad Spend, Commerce, CRM, Supply Chain, and Data Lakes force companies to configure & shoehorn in new data products into existing AI and Data Stacks.
Use Case Proliferation - New techniques, KPI’s, and best-practices force companies expand their skill sets to reckon with things like Agentic AI, Machine Learning, Incrementally, Media Mix Modeling, A/B Testing, Predictive Analytics, Data Clean Rooms, and attributing Offline & Online Marketing to Digital & Brick-and-Mortar Sales.
Technology Proliferation - As more tech platforms, more custom code, and more ad-hoc data lakes multiply throughout an organization, companies need to manage this knowledge and manage the continued pressures to expand.
Mature, sophisticated brands are already reckoning with an explosion of new SaaS apps entering their organization every single day. There are quite literally tens of thousands of AI Tech, MarTech, & AdTech SaaS applications, and every year the list gets a little bit longer...
We’ve seen this situation a million times. Even though these brands have generally built mature, sophisticated foundations for their analytics, they're faced with an constant high-wire act to keep it all in balance for their organization. Very few of these brands have armies of AI Engineers, Data Scientists, Software Architects, Analytics Engineers, or System Integrators on staff. And even if they do, they face a constant tug-of-war between staffing resources their “core product” versus staffing ad-hoc Analytics projects.
** This is exactly why we created Latticework Advanced!
Latticework Advanced is a brand new service that bundles together many of Latticework’s other services and adds a layer of firepower generally reserved for traditional custom software development. Things like agile software development expertise, database schema development, and system architecture.
At Latticework, we’ve spent the last 7 years coaching over 70 brands how to get value out of their data. Things like building and orchestrating Multi Agent System. Like extracting data out of esoteric data platforms and API’s. Like taming temperamental ETL pipelines and data warehouses. Like mining for insights that are buried inside gigantic data warehouses. And because we’ve incorporated 7 years of best practices into standard templates & methodologies.
Since nowadays the average company has their mission critical data stored in between 10-30 platforms, its become crystal clear that all companies need to “build a Latticework to get to the Insight”. But the type of Latticework they need, depends on their phase of growth. This is why we’ve developed specific packages - from Lite, to Basic, to Advanced to Copilot - custom-tailored to your growth stage. And ushers you up the ranks until you’re ready to be delivering data-driven Insights on a daily basis.
And we’ll have you and your brand up and running fast.