Attri

Attri

Attri is an AI consulting and engineering firm that builds, deploys, and governs AI agents for regulated enterprises. Its Enterprise OS platform layers identity, data, and audit controls onto custom agents built on Claude and OpenAI, taking clients from strategy through production deployment.

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Company Overview

Attri is an AI consulting and engineering firm that helps regulated enterprises move from AI pilots to production-grade AI agents. Rather than selling a single off-the-shelf tool, Attri works across the full lifecycle of enterprise AI adoption: strategy and discovery, custom agent development, governance, and ongoing management. The company is built around the idea that most organizations don't fail at AI because the models aren't capable enough — they stall because they lack the identity controls, data governance, and audit trails that regulated industries require before any AI system can touch production data or make consequential decisions.

Attri's engagements typically begin with an AI strategy and discovery phase, where the team runs structured workshops with a client's stakeholders to surface high-value use cases and rank them by return on investment. From there, Attri's engineers build custom AI agents on top of Claude and OpenAI APIs, tailored to the client's workflows rather than forcing a generic chatbot into a specialized process. Those agents are deployed on top of Attri's own governance layer, which the company calls Enterprise OS. Enterprise OS wraps every agent with identity and access management (including SSO and SCIM support), data lifecycle controls covering classification, retention, and residency, tamper-evident audit trails, pre-prompt governance such as automatic PII masking, and continuous monitoring for policy violations. The platform can be self-hosted in a client's own VPC or on-premises environment, which Attri positions as a way to avoid vendor lock-in and keep sensitive data inside a client's existing security perimeter. Attri is SOC 2 Type II certified and HIPAA compliant, with a Business Associate Agreement available for healthcare clients, and the company offers ongoing managed AI services so that agents keep working as underlying models and client requirements evolve.

Attri serves regulated and complex verticals including legal, healthcare, financial services, insurance, education, private equity, and geospatial AI, alongside internal operations use cases. Its relevance to the architecture, engineering, and construction industry comes through EnvelopX, a computer-vision platform Attri built to demonstrate its governance and AI engineering capabilities applied to the built environment. EnvelopX turns drone imagery of commercial buildings into structured, audit-ready condition assessments — automatically planning flight paths across 235-plus camera positions, detecting facade, rooftop, and structural anomalies with a reported 99% accuracy validated on real building data, and pinning findings to 3D models with confidence scores. The platform is aimed at property managers, construction firms, insurance assessors, and government infrastructure teams that currently rely on manual inspections involving scaffolding, rope access, or cherry-pickers. By replacing that physical access with drone capture and AI-driven anomaly detection, EnvelopX claims roughly 10x faster inspections while producing the kind of standardized, defensible documentation that inspection findings scattered across spreadsheets and photos never provided. EnvelopX is listed in the Twelvefold Venture portfolio and stands as a concrete example of how Attri's core platform — automated workflows, confidence-scored outputs, and audit-ready governance — translates into PropTech and AEC applications beyond its more common legal, healthcare, and financial services work.

Attri operates from two offices, in Austin, Texas and Ahmedabad, India, giving the company a presence across both U.S. and Indian engineering and client-facing teams. For AEC organizations evaluating AI vendors, Attri's pitch is less about a single point solution and more about a repeatable path from an unstructured problem — inconsistent inspection data, manual document review, disconnected systems — to a governed, production AI agent that a compliance or risk team can actually sign off on.

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