Altaira Strategic Partners, LLC, a provider of institutional-grade fund administration and middle office services, has formed a strategic alliance with DeepSee.ai, an enterprise AI solutions firm specializing in agentic automation for the financial sector. The agreement, announced on June 18, 2025, signals a material evolution in how private capital firms manage operational complexity. Altaira will integrate DeepSee.ai’s Knowledge Process Automation (KPA) technology into its core co-sourcing platform to deliver intelligent workflow automation, advanced portfolio intelligence, and reduced operational drag for asset managers.
This move reflects rising pressure across private markets to deliver operational efficiency alongside performance, with institutional investors increasingly scrutinizing fund infrastructures. Altaira, known for its embedded service model that extends across back and middle office functions, is turning to AI as a native capability—one that augments portfolio management and execution without inflating cost structures or headcount.
Founded by financial services veterans, DeepSee.ai brings agentic AI trained on institutional language patterns and workflows, providing clients like Altaira with tailored deployment speed, explainability, and outcome precision.
How does Altaira Strategic Partners plan to use agentic AI to optimize private fund operations?
Altaira Strategic Partners plans to embed DeepSee.ai’s agentic automation tools into its co-sourcing operating model, giving fund managers access to AI-driven portfolio intelligence and automation without requiring in-house technical resources. According to Altaira’s founding partner and chief executive officer Michael Fastert, the goal is to enable fund managers to scale operations intelligently—achieving operational alpha without the linear cost increase associated with traditional staffing models.
In the firm’s words, this approach marks a break from legacy fund services, where scale required manual input across reconciliations, collateral flows, and treasury operations. With DeepSee.ai’s platform, Altaira will allow its clients to deploy high-impact AI use cases across collateral optimization, borrow rate analysis, operational compliance, and middle office reporting—functions that historically required extensive resources and turnaround time.
DeepSee.ai’s co-founder and chief executive officer Steve Shillingford said the integration effort is not simply about deploying automation, but about co-building a scalable operating system specifically designed for the financial services ecosystem.
“Our core technology is trained exclusively on the language of financial services,” said Shillingford. “We’re not just offering a platform—we’re helping Altaira co-create an intelligent architecture for scaled fund operations.”
Why is Altaira Strategic Partners prioritizing intelligent automation amid growing institutional scrutiny?
The timing of Altaira Strategic Partners’ shift toward embedded AI reflects a broader inflection point across private markets. With fundraising headwinds and investor expectations shifting from simple returns toward operational excellence, asset managers are under pressure to improve efficiency while signaling innovation readiness. Altaira’s decision to position generative AI as a core infrastructure—not a bolt-on—signals an institutional-grade approach to modernization.
According to industry executives familiar with Altaira’s roadmap, the firm is prioritizing automation not only as a margin enhancer but as a portfolio differentiator. “It’s not just about cost compression,” one capital allocator noted. “Firms that can demonstrate scalable infrastructure are increasingly more attractive to large institutional investors.”
By enabling even modest cost reductions—estimated at 30 to 50 basis points—Altaira’s AI-first model can materially enhance net returns and fund durability. These gains are especially meaningful in a fundraising environment where GPs face elevated hurdles to secure LP commitments.
For example, by applying automation to treasury workflows such as collateral movements, borrow rate optimization, and capital call processing, Altaira believes it can shrink turnaround cycles and reduce error rates—improvements that directly translate into operational confidence for clients and their LPs.
How does DeepSee.ai’s Knowledge Process Automation platform enhance time-to-value for Altaira clients?
The KPA platform from DeepSee.ai offers prebuilt agentic workflows that are customizable, modular, and specifically designed for the financial services ecosystem. Rather than requiring months of internal buildout or the hiring of dedicated AI teams, Altaira clients can activate targeted automations in days or weeks, depending on the function and workflow complexity.
According to Shillingford, this time-to-value advantage is critical for fund administrators and asset managers who need tangible automation outcomes but lack deep internal engineering capacity.
“There’s a tremendous amount of institutional knowledge locked inside financial operations,” said Shillingford. “We’re not here to replace that—we’re here to liberate it so teams can focus on strategic decisions, not repetitive tasks.”
Altaira’s platform architecture allows for fast integration of these AI agents into existing client workflows, including functions such as trade break resolution, data normalization, document classification, and regulatory compliance reviews.
This plug-in AI model ensures clients retain full control of their operations while leveraging DeepSee.ai’s AI stack as a native capability. The approach avoids traditional vendor-client silos, positioning the service as a managed co-sourcing environment where people and machines augment one another.
What strategic goals underpin Altaira’s collaboration with DeepSee.ai in a digital-first fund ecosystem?
For Altaira Strategic Partners, the partnership with DeepSee.ai extends beyond tactical automation—it is a statement of strategic intent to redefine fund operations in a digital-first capital environment. According to Fastert, the firm aims to continue the client-first growth philosophy that defined his earlier leadership at TIG Advisors.
“At TIG, we weren’t looking to be a vendor. We were looking to be a solution partner,” said Fastert. “That’s the DNA we’re bringing to Altaira.”
This philosophy is now being applied to the architecture of Altaira’s core platform, which blends deep operational expertise with technology-forward capabilities. Fastert notes that the integration of AI agents enables Altaira to scale without diluting service quality or overextending teams.
By embedding DeepSee.ai into its infrastructure, Altaira can offer clients real-time data transparency, deeper analytical precision, and accelerated decision-making. These attributes are increasingly critical as firms navigate rising investor demands around reporting, risk oversight, and execution agility.
What is the broader outlook for AI-driven fund operations in private capital markets?
The Altaira–DeepSee.ai collaboration is emblematic of a broader institutional shift: AI in fund operations is moving from experimental pilots to essential infrastructure. With generative AI capabilities becoming more explainable, compliant, and tailored to sector-specific use cases, private capital managers are beginning to treat AI not as an option—but as a baseline requirement.
Market analysts expect increased adoption of agentic AI in areas such as shadow NAV reconciliation, side letter enforcement, ESG data capture, and scenario analysis. These functions are increasingly standard expectations from institutional LPs, who seek fund managers capable of agile reporting and high-fidelity control environments.
Altaira’s model offers a near-term blueprint for AI-native operations that are investor-aligned and execution-scalable. The firm’s ability to co-create automation modules with DeepSee.ai ensures a faster path to innovation while keeping regulatory and fiduciary obligations intact.
Over the medium term, Altaira expects its platform to serve as a differentiated edge for mid-sized and emerging managers that lack in-house engineering or AI product development capacity.
As more fund managers look to signal operational excellence, platforms like Altaira—with embedded agentic AI and co-sourced delivery—are well positioned to capture new growth in a fiercely competitive allocation landscape.
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