ON THE RECORD
AUG 2026 / MARINE CORPS SELECTS ARGUS FOR COGNITIVE ADVANTAGE2026 INC. 5000 / NO. 952JUN 2025 / NEBULA ITSM LAUNCHES ON SNOWFLAKE

COMPANY / ENTERPRISE AI

Accrete and the things nobody writes down

The expensive part of expertise is often the part missing from the manual. Accrete wants to turn that unwritten knowledge into software that can trace a supplier, follow a narrative and question an IT change.

Consider an ordinary IT change request. It has a ticket number, an owner and an apparently sensible plan. Somewhere else is an incident report from the last time somebody tried something similar. Somewhere else again is the person who remembers why it went wrong. An organization can possess all three and still approve a bad change. The information exists. The connection does not.

That is the opening Accrete has chosen. The company builds software around a proposition that is easy to underestimate: expertise includes knowing which facts belong together. A document can record a procedure. It is less good at recording the experienced colleague’s raised eyebrow.

The story in four moves
  • The raw material: scattered data and the expertise people carry in their heads.
  • The machinery: Knowledge Engines that connect entities, relationships and analytical methods.
  • The work: supplier influence, narrative intelligence and enterprise operations.
  • The test: useful decisions with evidence and appropriate human control.

The raised eyebrow problem

Prashant Bhuyan started Accrete in 2017. His background includes high-frequency trading systems, an occupation in which the relationship between signals can matter as much as the signals themselves. Accrete’s present-day argument concerns another scarce resource: the judgment accumulated inside an organization.

The company calls its foundation a Knowledge Engine. It connects fragmented information with domain expertise, then makes that context available to specialized agents. Those agents can produce analysis and finished work. The intended advantage is accumulated understanding of the customer’s world: the entities, dependencies and methods that make an answer useful.

“Intelligence is becoming abundant; expert judgment is scarce.”Accrete’s company statement

That distinction helps explain the business. A general model may know a great deal about procurement. A buyer investigating a particular supplier needs the ownership trail, the relevant relationships and a defensible way to interpret them. General competence must meet a very particular mess.

Accrete founder and CEO Prashant Bhuyan
THE MAN BEHIND THE MEMORY. Prashant Bhuyan’s company is built around a troublesome fact: the manual rarely knows as much as the person beside it.

The company behind the company

Argus for Supply Chain Influence applies this approach to foreign ownership, control or influence, usually shortened to FOCI. A supplier’s name is a starting point. The useful investigation follows connected entities and relationships that may change the risk assessment.

That is a demanding application for software. Names vary. Information arrives in incompatible forms. A relationship that looks harmless in isolation may deserve attention once connected to other evidence. Accrete supplies analytical capabilities for resolving entities and mapping relationships, rather than leaving every customer to assemble those functions from scratch.

The defense business gives the proposition a commercial anchor. In November 2022, Accrete announced a five-year Department of Defense production software licensing contract for Argus, described as worth tens of millions of dollars. A USSOCOM contract followed in August 2023 for social-media threat analysis. The Army awarded a multi-million-dollar information-operations contract announced in April 2024.

These are purchases of work capability, with contracts attached. They are a firmer indication of demand than an attractive demonstration. They do not, by themselves, establish that every prediction is correct or that every organization will achieve the same result.

When attention becomes an intelligence problem

Supplier networks are one kind of hidden structure. Narratives are another. A story can travel through posts, comments, creators and audiences, changing meaning as it moves. Counting mentions describes activity; understanding the relationships helps an analyst investigate influence.

In March 2026, Accrete renamed Argus for Social Media Influence as Argus for Cognitive Advantage. The new name signals a wider ambition: follow narrative development, influence activity and shifts in perception, then produce intelligence a leadership team can use. In August, the company announced a Marine Corps sole-source licensing contract for the product.

The commercial cousin is Nebula Social. It connects posts, comments, creators, sounds, images, video and engagement into narratives for marketing and consumer-insight teams. Its conversational agent, Kepler, lets users question that connected information. Accrete highlights a Publicis Groupe partnership alongside the product.

The unusual feature is the shared foundation. A national-security analyst and a brand team care about different consequences, but both may need to understand who is attracting attention, which ideas are moving and how audiences respond. Accrete sells specialized applications of that analytical problem. The customer’s purpose determines the interpretation.

The outage hiding in yesterday’s ticket

Nebula for IT Service Intelligence brings the same idea back to the change request. It connects changes, incidents, configuration data, documentation and service dependencies. An IT team can assess likely failure factors before approval or investigate how a current incident relates to recent changes and past events.

The concrete distribution step came in June 2025, when Accrete launched Nebula ITSM as a Snowflake Native App. It can operate inside the customer’s Snowflake environment without moving operational data outside it. That matters to a buyer who wants analysis close to existing data and within an established operating environment.

Here, the first thing that fails in the underlying workflow can be context: the approval process sees a ticket while the relevant history sits elsewhere. The approval can be procedurally complete and still miss the dependency that matters. The practical benefit is a better informed change review and a narrower investigation when something goes wrong.

The numbers require separate drawers

Accrete earns through enterprise and government software engagements. Its public record includes multi-year licensing, configured mission deployments and marketplace distribution. Carahsoft’s May 2025 partnership added established public-sector purchasing routes. Selling the software includes making it purchasable.

$15mUp to this amount in 2025 STRATFI development funding
364%Three-year revenue growth on the 2026 Inc. 5000

The STRATFI selection by AFWERX and SpaceWERX supports specific development: broader foreign social-platform coverage, improved predictive modeling and enhanced expert agents. It belongs in the development-funding drawer. It should not be casually treated as a venture round or a customer subscription price.

Inc. lists Accrete at No. 952 in 2026, up from No. 1,917 in 2025. Its 364% growth figure measures a three-year period. Growth is evidence of commercial momentum, though the percentage alone tells a reader little about margins or the cost of deployment.

A crowded market, a specific wager

Accrete operates where enterprise AI meets decision intelligence and defense analysis. It faces overlapping alternatives: platforms such as Palantir, national-security analysis specialists such as Primer and Vannevar Labs, and teams building their own data and agent systems. Primer, for example, also emphasizes persistent analytical context and traceable evidence. Context is a competitive battleground.

Accrete’s wager is that a reusable Knowledge Engine, specialized analytical functions and purpose-built products can carry expertise between workflows. Buyers should judge that combination against a concrete task. A category label such as “agentic AI” is a poor acceptance test.

Its published workplace commitments fit the technical mix: collaboration across researchers, engineers, product specialists and domain experts; ownership of work; and continued learning. The company has offices in the United States and India. Building useful analytical software requires people who understand both the machinery and the job it is meant to do.

Borrow the question before buying the answer

A reader can copy the method without copying the procurement. Pick a recurring decision. Identify the documents, systems and people it depends on. Ask an experienced colleague to explain the exceptions. Preserve the reasoning alongside the outcome. Then test whether software improves the decision, using cases whose outcomes are already known.

The approach depends on usable evidence, access to relevant systems and experts willing to expose how they work. If the information is wrong, the permissions block the necessary context or nobody can define success, connecting more material may produce a more elaborate mistake. A routine task with little contextual ambiguity may need much simpler software.

Accrete’s current governance design puts policy and human approval in the execution path. An agent’s ability to find information is different from its authority to change a system. The sensible starting point is one bounded workflow, a named reviewer and a measurable result.

The intriguing question is what an organization has failed to remember. The next useful fact may already be sitting in yesterday’s ticket, a supplier relationship or somebody’s head. Accrete has built a business around bringing those facts into the same conversation.