Designing buildings the way engineers design microchips - with rules, algorithms and digital twins instead of drafting tables.
In 1989, Deepak Aatresh walked into Intel to design microprocessors. Over nearly two decades in semiconductors he watched an industry compress staggering complexity into predictable, automated workflows - millions of components laid out by software in a matter of months, governed by rules and verified by simulation before anything was ever manufactured. Then he looked at how the world designs and builds buildings, and the contrast was hard to ignore. Hospitals, with far fewer moving parts than a modern chip, still took years to design, largely by hand, one bespoke drawing at a time.
That contrast is the founding idea of Aditazz. Based in Santa Clara, California, the company takes the automated, rule-based methods pioneered in chip design and applies them to the architecture, engineering and construction (AEC) industry. Rather than draw a building, Aditazz encodes what a building must satisfy - client requirements, clinical workflows, patient volumes, local building codes - as machine-readable design rules. Software then generates, tests and optimizes complete layouts, producing what the company calls digital twins: full simulations of a building tested for cost, energy and function before a shovel ever hits the ground.
The company was founded around 2010 by Aatresh together with Zigmund Rubel, a licensed architect. Neither could have built it alone. One brought the automation mindset of silicon; the other brought the hard-won knowledge of how buildings actually stand up, get permitted, and get used. Between them sat a team deliberately stitched together from semiconductor design, computer science, structural and systems engineering, materials science, applied mathematics and healthcare operations.
Aditazz's software behaves less like a drafting tool and more like a compiler. It takes a language of design patterns and a rulebook of constraints, then assembles a finished building from reusable parts.
Human expertise and building codes are encoded as machine-readable design rules.
➞Algorithms draw from libraries of spatial patterns to synthesize candidate layouts.
➞Digital twins test cost, energy, structure and clinical flow before construction.
➞Designs adjust automatically to footprint, patient volume and financial targets.
In one widely cited result, Aditazz redesigned a hospital around real patient data instead of convention - and the building came out roughly 30% smaller, with fewer beds, better-aligned diagnostics and lower cost. The chart below illustrates the relative footprint of a conventional design versus an Aditazz data-driven design (illustrative, based on the company's reported ~30% reduction).
Illustrative comparison based on Aditazz's reported ~30% hospital-footprint reduction. Actual results vary by project.
A software-as-a-service platform that captures engineering and architectural expertise as rules and uses deep computation to generate, simulate and optimize designs and create digital twins.
Rule-based, compiler-like synthesis that assembles libraries of spatial patterns into complete layouts governed by requirements and local codes.
Design and delivery of next-generation hospitals integrating functional operations, technology and modular manufacturing.
Technical, environmental and financial simulation of a building before it is built - enabling data-driven trade-offs on cost, energy and clinical flow.
Aditazz operates in one of the least-digitized industries on earth. Traditional AEC firms and conventional BIM tools like Autodesk Revit dominate the incumbent landscape, while a newer wave of computational-design startups - Hypar, TestFit, Higharc, Cove.tool and Autodesk Forma (formerly Spacemaker) - competes for the same future. Aditazz's distinction is its semiconductor-inspired, rule-based synthesis paired with a simulation-first, digital-twin approach: it doesn't just help an architect draw faster, it tries to generate and verify the design itself.
An electrical and computer engineer from India who joined Intel in 1989 and spent about seven years designing generations of microprocessors, with later roles at Lucent Technologies and Riverstone Networks. He brought the automation and simulation mindset of chip design to construction.
A licensed architect and Aditazz's Chief of Building Sciences and Design Services, and a board member of the Center for Innovation in the Design and Construction Industry. He grounds the company's software in how buildings are really designed, permitted and used.
Deepak Aatresh connects with architect Zigmund Rubel around applying chip-design methods to buildings.
The company launches in Silicon Valley with seed backing from Artiman Ventures.
Aditazz wins the "Small Hospital, Big Idea" design competition, validating its computational approach.
Co-founder Deepak Aatresh is appointed CEO to lead the company.
A Series B round led by RNT Capital closes, with Artiman Ventures participating.
Aditazz releases its automated building-design capability as software-as-a-service.
Featured in industry press as a mover-and-shaper in automating building design.
Reported funding totals vary across public sources; figures above reflect the disclosed rounds and lead investors.