Small enough to test
One source set, one operating outcome, one acceptance test, and explicit stop conditions.
Durability Labs partners with early-stage specialized firms on bounded automation that respects sensitive data, human decisions, and the evidence behind the work. Pharma is the deepest public vertical today.
The first workflow should earn the next one. We start small, define ownership clearly, and assess infrastructure that can fit the client's constraints and future operating model.
One source set, one operating outcome, one acceptance test, and explicit stop conditions.
Measured output, visible exceptions, named review, and source provenance travel with the work.
Client-controlled cloud, on-premises, hybrid, and open-source-capable directions are assessed for the actual environment.
They apply across suitable verticals even when the systems, reviewers, risks, and regulations change.
Define where data goes, who can see it, which tools touch it, and how it leaves.
Test representative output and report limits instead of promising perfection.
Keep correction, rejection, approval, and accountable decisions with people.
Keep material output connected to sources, changes, exceptions, and reviewers.
The founders stay close to the workflow, buyer, and operating boundary. Specialists and local partners are added only when the scope needs their documented role.
Leads Durability Labs' vision, strategy, and client partnerships, aligning the company's capabilities with each client's highest-value path to durable growth.
View Shravani's profile
Leads Durability Labs' operating model, execution, and delivery systems, translating company strategy into disciplined client delivery and scalable, durable operations.
View Saad's profileWe will determine whether the problem is bounded enough to test, which evidence is needed, who keeps the decision, and what deployment directions are realistic.