Decidr Lays Out $15M Plan to Build AI’s Missing ‘Orchestration Layer’

Decidr raises $15 million to build AI’s “orchestration layer”

In its May 2026 capital raising presentation, Decidr AI Industries outlined its $15 million institutional placement to fund what management describes as the “orchestration layer” for the agentic economy. The company positioned itself between approximately US$2 trillion of AI infrastructure investment and trillions of enterprise processes, targeting the coordination layer that translates probabilistic AI outputs into governed enterprise execution. At 31 March 2026, DAI reported an annualised revenue exit rate of $8.06 million, representing more than 2x growth versus the prior quarter. The placement, priced at $0.61 per share, will issue 24,590,168 new shares to institutional investors. DAI holds approximately 97% of DecidrUS following its acquisition of Sugarwork, which management presented as the enterprise wedge into Fortune 2000 Knowledge Security accounts.

What is the AI “orchestration layer”?

The presentation detailed DAI’s thesis that value in the agentic economy accrues to coordination rather than application or model layers. Management highlighted the structural gap between probabilistic AI systems—where large language models predict the next most likely token—and the deterministic requirements of enterprise operations, which demand predictable, repeatable, and compliant outcomes.

DAI’s orchestration layer addresses what the company frames as “pilot fatigue”: according to the MIT NANDA State of AI in Business 2025 study cited in the presentation, 95% of generative AI pilots fail to reach production. The company argued that enterprises require a governance layer that can audit AI decisions, enforce compliance, and maintain sovereignty over decision-making processes.

Management positioned this orchestration function as “structurally unclaimed” territory, arguing that frontier labs are colonising the application layer by vertical—engineering, government, defence, healthcare—while leaving the coordination and audit infrastructure unoccupied. The presentation suggested that orchestration compounds value through audit trails, sovereignty, and trust, whereas application-layer AI risks commoditisation as frontier models integrate directly into workflows.

The three-stage product strategy

DAI outlined a “Capture → Coordinate → Compound” framework for building the orchestration layer:

1. Capture (Sugarwork + Embedded Partnerships) – knowledge capture and ecosystem-led growth through partner workflows
2. Coordinate (DecidrOS) – schema-driven agent orchestration and interoperability that standardises how agents read, write, and audit across vertical applications
3. Compound (Agentic Graph) – network effects as partners become “super-nodes” and enterprises become major nodes, with graph density increasing the intelligence of pre-boarded businesses

Use of proceeds breakdown

Management presented a disciplined capital allocation plan across four categories, emphasising that the raise targets five defined milestones over 12 months:

The presentation emphasised that $6 million allocated to Sugarwork will fund the transition from a completed acquisition into a productised Knowledge Security platform, including enterprise go-to-market infrastructure and always-on meeting capture capabilities. The $2 million sovereign compute allocation targets dedicated inference capability through strategic partnerships, enabling air-gapped, regulated, and sovereign deployment environments.

Five milestones to watch over the next 12 months

The presentation committed DAI to five measurable execution checkpoints:

1. Q4 FY26: Sovereign compute pilot live with at least one strategic partner
2. FY27 H1: Knowledge Security Platform v1.0 shipped + first US enterprise contract converted from pilot to paying status
3. FY27 H1: Provisional patents filed for core DecidrOS and Knowledge Security IP; first peer-reviewed paper submitted
4. FY27 H2: First bolt-on acquisition closed under the M&A reserve, with integration to DecidrOS completed within 90 days
5. FY27 H2: ARR acceleration materially above current trajectory, underpinned by enterprise Knowledge Security contracts layered on the SME DecidrOS base

Management positioned these milestones as the roadmap for tracking execution against the capital raise thesis over the 12-month deployment period.

Revenue trajectory and partnership momentum

The presentation detailed DAI’s revenue growth across five quarters, positioning the company in what management described as the “top 5% of SaaS trajectories” based on early-stage revenue acceleration:

• $8.06 million annualised revenue exit rate at 31 March 2026
• 2.0x quarter-on-quarter growth (Q3 FY26 vs Q2 FY26)
• 8.0x year-on-year growth (Q3 FY26 vs Q3 FY25)

Management compared DAI’s early revenue trajectory to companies including Salesforce, Zendesk, Workday, ServiceNow, and Marketo, though the presentation did not provide specific benchmarking data. The annualised exit rate methodology calculates projected annual revenue based on the most recent quarterly performance, which DAI reported as $8.06 million at the 31 March 2026 quarter-end.

Partnership ecosystem update

DAI highlighted new partnerships executed during the quarter, which management positioned as expansion of its ecosystem-led growth model:

• Tier 1 APAC System Integrator – teaming agreement executed across APAC as a Sugarwork reseller
• ICON Consulting – enterprise pipeline progressing across ASEAN for Sugarwork and Accounts Receivable workflow via SAP
• AE Studio – co-sell motion initiated with joint marketing targeting the private equity sector
• Beckway – appointed as commercial reseller, including Sugarwork distribution
• APJ Datacentre – MOU signed covering NVIDIA chip inventory access, supporting AI positioning in ASEAN
• Google Cloud – deepening relationship with Google Cloud ecosystem

The presentation highlighted AWS progress, noting that DAI’s Marketplace Fast Tracking listing is now live, with co-sell motions active across enterprise and mid-market segments from mid-March 2026.

Sugarwork acquisition and the “Knowledge Security” category

Management presented Sugarwork as the enterprise wedge that moves DAI from SME orchestration into Fortune 2000 accounts via CISO and General Counsel entry points. The acquisition was completed by DecidrUS, with an implied valuation of US$250 million for DecidrUS; DAI holds approximately 97% of the entity. Vanessa Liu, previously with SAP.iO and McKinsey, has joined as CEO.

The presentation defined “Knowledge Security” as a new enterprise category that captures tacit decision-structure inside the customer’s boundary, then fine-tunes open-source models on that structure. Management positioned this as addressing two specific enterprise problems: 43% of employees admit sharing sensitive data, and 67% of enterprise AI usage happens via unmanaged accounts, according to data cited in the presentation.

The Sugarwork solution retains captured knowledge in-house, avoiding black-box lock-in to frontier models by maintaining what the company describes as an “executable map” of company artefacts. The presentation argued this allows regulated decision processes to run on infrastructure the enterprise controls, meeting requirements under the EU AI Act and GCC sovereign AI mandates.

Tom Blomfield, Partner, Y Combinator

“We think every company is going to need a new primitive: a living map of how the company works that turns its own artifacts into an executable skills file for AI.” — 28 April 2026

The presentation positioned Sugarwork as capturing operational structure that would otherwise leak into frontier models through employee prompts, with management arguing that even sanitised content reveals reasoning structure through prompt patterns.

How Sugarwork differs from competitors

Management outlined a competitive positioning that distinguishes Sugarwork from expert-capture companies targeting frontier labs. The presentation noted that AfterQuery, Mercor, Surge, and Handshake AI sell expertise to frontier labs, where the lab owns the expertise and the model runs in lab-controlled environments. Sugarwork, by contrast, sells to enterprises, where the enterprise owns the expertise and the model runs in the customer’s sovereign environment.

The presentation cited a TAM framing of approximately 10-20 labs globally versus 10,000s of enterprises. Management argued that Sugarwork occupies “clean whitespace” because chat vendors cannot pivot to deep capture without cannibalising model lock-in, and expert-training firms cannot enter the enterprise sovereignty market without abandoning their core customer base (the labs). The presentation positioned retrieval-augmented generation and thin fine-tuning as insufficient for capturing reasoning structure, framing Sugarwork’s methodology as the only approach that combines deep capture with customer ownership.

Pro forma capital structure and timetable

Following the placement, DAI will have 349,399,702 fully paid ordinary shares outstanding, with 24,590,168 new shares issued at $0.61 per share. The company reported 56,972,000 options outstanding.

Cash position at 31 March 2026 was $17.16 million, which combined with the $15 million raise provides total sources of $32.16 million. Management presented this as the runway required to execute against the 12-month milestone roadmap detailed in the presentation.

Settlement is scheduled for Wednesday, 13 May 2026, with allotment and quotation occurring Thursday, 14 May 2026. The presentation noted that the Decidr Group Pty Ltd remains the largest shareholder at 22.4% post-offer, with institutional placement participants holding 7.0% of post-offer shares.

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