Datasite is a technology company providing secure infrastructure, private-market intelligence, and artificial intelligence capabilities for mergers and acquisitions. Its platform supports approximately 55,000 transactions annually and serves more than 600,000 dealmakers worldwide, combining virtual data rooms, digital boardrooms, proprietary company intelligence, and AI-powered transaction workflows. Through its acquisitions of Grata and Blueflame AI in 2025, Datasite has expanded its capabilities in private-company discovery and agentic AI, introducing products such as Grata Intelligence and Datasite Connect. Raj Bakhru, who co-founded Blueflame AI before its acquisition by Datasite, became the company’s Chief Technology Officer in September 2026. Pulse 2.0 interviewed Datasite Chief Technology Officer Raj Bakhru to learn more about his background, the company’s AI-powered M&A technology, enterprise security and governance, recent acquisitions, and the future of agentic workflows in dealmaking.
Raj Bakhru’s Background
When asked about his background, Bakhru shared:
I serve as Chief Technology Officer at Datasite, leading the company’s technology organization and advancing secure, scalable, AI-native infrastructure for M&A. I joined Datasite through its 2025 acquisition of Blueflame AI, which I co-founded to apply agentic AI to the most complex and time-intensive work performed by financial professionals, and was appointed CTO in September 2026.
My career spans software engineering, financial services, cybersecurity, and entrepreneurship. I began as a software developer and held roles at Goldman Sachs Asset Management, Highbridge Capital Management, and Kepos Capital.
I also founded a cybersecurity consulting firm that was acquired by ACA and subsequently held senior technology, strategy, and cybersecurity roles at ACA Group and ACA Aponix. That combination of technical, financial, and operating experience shapes my focus on practical innovation and institutional-grade execution.
Primary Responsibilities At Datasite
When asked about his primary responsibilities as Chief Technology Officer, Bakhru explained:
I lead Datasite’s technology organization, set the company’s technology strategy, and advance its secure, scalable, AI-native infrastructure.
My priorities include integrating market intelligence, transaction workflows, and AI across the M&A lifecycle; aligning product and engineering execution; incorporating the capabilities acquired through Grata and Blueflame AI; and ensuring that every AI-enabled workflow meets enterprise standards for accuracy, permissions, auditability, and resilience.
Favorite Memory Working At Datasite
When asked about his favorite memory working at the company, Bakhru highlighted the integration of Blueflame AI into Datasite:
My favorite milestone has been bringing Blueflame AI into Datasite and seeing the combined teams turn a shared vision into products that support dealmakers from opportunity discovery through transaction execution.
The experience demonstrated how quickly specialist teams can create customer value when they align around a clear operating objective.
Core Products And Features
When asked about Datasite’s core products and features, Bakhru explained:
Datasite provides essential infrastructure for M&A, combining private-market intelligence, secure data rooms, digital boardrooms, and global support available 24/7. Native AI connects these capabilities so deal teams can identify opportunities, manage diligence, and execute transactions within controlled workflows.
Two recent products that we’ve introduced include Grata Intelligence and Datasite Connect.
Grata Intelligence is an agentic M&A workspace that combines proprietary private-company data, institutional context, and connected workflows. Deal teams can build target lists, evaluate company signals, investigate opportunities, and carry relevant intelligence forward as a transaction develops.
Datasite Connect enables authorized users to connect an organization-approved proprietary or third-party AI assistant to live deal content. Existing document-level permissions determine what each user and AI tool can retrieve, while full documents remain inside Datasite projects and activity remains auditable.
Challenges In Deploying Agentic AI For M&A
When asked about challenges in implementing AI across complex M&A workflows and how Datasite addresses them, Bakhru explained:
The central challenge is deploying agentic AI across complex deal workflows without weakening security, accuracy, or governance. M&A information spans data rooms, internal systems, and external sources, and every additional connection can introduce risk.
The New Deal Team report found that accuracy and security were the two most important AI requirements, cited by 71% and 70% of dealmakers, respectively.
We address that challenge by limiting where agents can operate, what information they can access, and which actions they can take. Human oversight, audit trails, and continuous testing then verify that those controls remain effective as models, tools, permissions, and data sources change.
Datasite Connect applies that approach in practice. Organizations can use approved AI assistants with live deal information while existing document-level permissions remain in force. Users and AI tools retrieve only authorized content, full deal documents remain within Datasite projects, and activity can be governed and audited.
How Datasite’s Technology Has Evolved
When asked how Datasite’s technology has evolved since launching, Bakhru explained:
Datasite evolved from secure document exchange and virtual data rooms into an integrated M&A platform spanning opportunity discovery, diligence, governance, and execution.
Automation first streamlined document-intensive processes. The acquisitions of Grata and Blueflame AI added proprietary private-market intelligence and agentic AI capabilities.
Grata Intelligence and Datasite Connect now connect those capabilities with live transaction content while preserving established permissions and controls.
Significant Company Milestones
When asked about Datasite’s most significant milestones, Bakhru highlighted the company’s acquisitions, leadership appointments, and AI product launches:
Datasite’s most significant recent milestones include the 2025 acquisitions of Grata and Blueflame AI, the September 2026 leadership appointments aligning technology, product, enterprise systems, and commercial execution, and the 2026 launch of Grata Intelligence and Datasite Connect.
Together, those steps connected private-company discovery, institutional context, agentic workflows, and live transaction documents within a broader connected M&A infrastructure strategy.
They also advance CapVest Partners LLP’s announced intention to invest $500 million in Datasite’s intelligence solutions through organic development and acquisitions.
Customer Success Stories And M&A Workflows
When asked about customer use cases demonstrating the value of Datasite’s technology, Bakhru described how deal teams can use AI-powered intelligence and secure transaction workflows:
A representative customer workflow begins with a corporate development team or investor using Grata Intelligence to build a target list, review private-company profiles and signals, and investigate candidates with AI.
When a candidate advances, authorized users can query live diligence documents without leaving the workflow.
Another authorized party can use Datasite Connect to query the same data room through its own approved AI assistant.
In each case, existing permissions determine what can be retrieved, reducing manual exports while preserving security and auditability.
Funding And Revenue Metrics
When asked about Datasite’s financial position and investment plans, Bakhru shared:
Datasite is privately held and does not disclose revenue figures.
CapVest Partners LLP has announced its intention to invest $500 million in Datasite’s intelligence solutions, both organically and through acquisitions.
That commitment supports continued expansion of the company’s data, AI, and workflow capabilities.
Total Addressable Market
When asked about the total addressable market Datasite is pursuing, Bakhru explained:
Datasite does not publish a formal total addressable market figure.
However, the TAM for intelligence in M&A is estimated to be in the hundreds of billions of dollars, when all the costs around M&A services and execution costs are aggregated.
What Differentiates Datasite From Its Competition
When asked what distinguishes Datasite from competing M&A technology platforms and general-purpose AI tools, Bakhru explained:
Datasite’s primary differentiator is a purpose-built combination of trusted transaction infrastructure, private-market intelligence, and agentic AI. The platform supports approximately 55,000 transactions annually, giving Datasite deep expertise in how deal teams work and what institutional-grade execution requires.
General-purpose AI tools are not designed around the confidentiality, permissions, and workflow complexity of M&A. Datasite integrates opportunity discovery, diligence, transaction execution, governance, and AI within one controlled environment.
That design allows firms to use AI on relevant company and deal information without bypassing the systems that protect it.
Datasite is trusted by more than 600,000 dealmakers worldwide and combines more than 50 years of transaction experience with proprietary private-market intelligence.
Anonymized activity across the platform produces early signals on M&A direction that complement public datasets. This combination helps customers identify opportunities, reduce execution risk, and make decisions with stronger context.
Future Company Goals
When asked about Datasite’s future goals, Bakhru outlined the company’s plans to integrate AI throughout the M&A lifecycle while maintaining human oversight of critical decisions:
Our long-term goal is to make Datasite the essential AI-powered infrastructure for the entire M&A lifecycle through a connected interface.
We will continue combining proprietary market signals, institutional context, live transaction content, and agentic workflows so deal teams can move from target identification to execution without losing security or context.
AI will take on more process-intensive work, including organizing information, identifying inconsistencies, monitoring changes, and surfacing risk.
Professionals will retain responsibility for valuation, negotiation, relationships, and final decisions.
The New Deal Team research found that 62% of dealmakers consider human-only decision-making indefensible in complex transactions, while 45% believe the decision to sign a deal should always remain a human responsibility.
Establishing Safe Operating Standards For Agentic AI
When asked whether there were any additional topics he wanted to discuss, Bakhru emphasized the importance of maintaining clear governance boundaries for enterprise AI systems:
The next priority is establishing the operating model for safe agentic AI.
Organizations should enforce three boundaries outside the agent itself: where it can operate, what information it can access, and which actions it can take.
Least-privilege access, isolated execution environments, action-specific approvals, audit logs, and continuous testing create useful autonomy without surrendering control.
The firms that implement those standards now will be positioned to scale AI with greater confidence.
