DoiT Acquires Attribute, Launches Tokenomics, and Earns AWS BVR Status

In July 2026, DoiT acquired AI cost-management startup Attribute to launch a real-time, kernel-level token economics product, while simultaneously becoming an inaugural partner for the new AWS Business Value Realization Competency to prove measurable financial and technical outcomes for enterprise customers.

DoiT Accelerates AI Growth with Five Acquisitions and AWS Milestone

DoiT has acquired five companies in the past 18 months, focusing on AI cost management and driving significant AWS sales while achieving AWS’ new Business Value Realization (BVR) Competency. The Santa Clara-based company recently purchased AI startup Attribute and launched a new AI solution. 

Amit Kinha, DoiT’s field chief technology officer, also emphasized that they aim to innovate in AI cost attribution by linking spending tokens to their outcomes. This approach enhances DoiT’s appeal to large enterprises and positions them uniquely in the market. The AWS BVR Competency adds to DoiT’s twelve specializations and complements a five-year strategic collaboration agreement with AWS to generate USD5 billion in business. Kinha emphasized that this recognition is part of a broader strategy, not just a singular achievement.

Kinha mentioned the shift in emphasize tokenomics, which reflects the changing landscape of cloud cost management. With the formation of the Tokenomics Foundation by the Linux Foundation and FinOps Foundation, DoiT aims to lead in establishing operational standards for AI token attribution intend to be the company most closely identified with it.

DoiT: Powering the Future of Cloud

DoiT addresses the complex shift in AI tokenomics by offering automated, zero-instrumentation cost attribution by shifting enterprise focus from raw usage tracking to measuring precise return on investment. Tools like DoiT Attribute track real-time consumption at the kernel level without requiring SDKs or tagging policies by connecting abstract AI token costs directly to individual customers, features, and autonomous agents.

Future enterprise strategies will emphasize the cost per verified outcome, tiered architecture and intelligent routing, and FinOps Integration. Businesses will measure success by the economic value of a completed task rather than token volume, route routine jobs to cheaper local models while saving expensive models for hard tasks, and merge token tracking into cloud financial operations for stringent budgets and real-time.

Impact on the ICT Industry

This strategic integration of automated AI token attribution fundamentally transforms the ICT industry by establishing measurable as well as outcome-driven financial accountability for enterprise artificial intelligence.

This redefines the ROI standards by evolving enterprise evaluations from vague productivity metrics to strict, auditable per-token unit economics linked directly to business revenue. Decentralized visibility extends deep operational tracking past traditional cloud account boundaries down to individual AI agents and user sessions. Practitioner-led governance also transforms financial oversight from static spreadsheets into engineering workflows to judge cost-to-serve validity in real time.

This platform addresses industry hurdles by leveraging lightweight, kernel-level eBPF sensors for rapid deployment and providing direct, 15-minute integration to bridge infrastructure spend with documented business outcomes, thereby connecting the AI value gap for leaders. Additionally, it manages expenses from autonomous agent loops in shared GPU environments without requiring changes to existing software architecture.

Impact of the Cloud Cost Management Industry

The global cloud cost management market size accounted for USD 4.95 billion in 2025 and is predicted to increase from USD 5.83 billion in 2026 to approximately USD 25.39 billion by 2035, expanding at a CAGR of 17.80% from 2026 to 2035.

According to Precedence Research, this strategic integration of automated AI token attribution impacts the industry by bridging the enterprise gap between opaque, exploding AI costs and measurable financial ROI by providing automated, kernel-level token attribution.

Automated cost attribution holds every single AI token and GPU cycle directly to the specific customer, feature, and product that generated it. Shift to practitioner ownership evolves AI cost evaluation out of static financial spreadsheets and into the hands of engineering practitioners. Validated financial outcomes: Leverages the AWS Business Value Realization (BVR) Competency to provide verified proof points and structured value plans rather than speculative cost-cutting advice.

This also addresses the limitations of the industry by mitigating manual tagging, achieving kernel-level speed, and offering decentralized visibility. It not only bypasses fragile SDKs by using lightweight eBPF sensors installed in 15 minutes for real-time tracking but also solves transparency issues regarding unmapped workloads spawned by autonomous AI agents and sub-agents.

About DoiT

DoiT is a global technology company that simplifies multi-cloud management across AWS, Google Cloud, and Microsoft Azure by combining intent-aware FinOps and CloudOps software with expert human guidance. The company focuses on reducing cloud complexity, automating cost optimization, and democratizing senior-level architectural expertise for growing enterprises.

About Attribute

Attribute is a cloud cost observability and FinOps platform that facilitates tag-free, real-time cost allocation for complex infrastructure and AI workloads. The company aligns technology with business by shifting cloud spending into clear unit economics through the Attribute Platform and a proprietary eBPF sensor. These tools lower manual tagging friction and also enable value-based pricing by tracking AI token costs and by allocating shared infrastructure based on actual live behavior.