OneByZero

We help enterprises become AI-native by deploying governed AI coworkers in regulated sectors.

Cover Block

Public sources

Field	Value
Name	OneByZero
Tagline	We help enterprises become AI-native by deploying governed AI coworkers in regulated sectors.
Headquarters	Singapore [Digital News Asia, October 2026]
Founded	2023 [Digital News Asia, October 2026]
Stage	Series A [Digital News Asia, October 2026]
Business Model	B2B
Industry	Deeptech
Technology	AI / Machine Learning
Geography	Southeast Asia
Growth Profile	Venture Scale
Founding Team	Co-Founders (2), Niket Vaidya and Vibhore Kumar [Digital News Asia, October 2026]
Funding Label	Series A
Total Disclosed Funding	~$20,000,000 [Digital News Asia, October 2026]

Executive Summary

PUBLIC OneByZero builds governed AI systems for large enterprises in regulated sectors, and it is drawing investor attention now because Jungle Ventures has led a $20 million Series A into a company that says it is already running production AI deployments across Asia Pacific [Digital News Asia, October 2026] [DealStreetAsia, October 2026]. Founded in Singapore in 2023, the company presents itself as an enterprise AI deployment specialist rather than a model developer, with a service-led motion centered on identifying use cases, integrating into customer systems, and operating AI coworkers in production [Asia Business Outlook, October 2026] [ONEBYZERO].

The product center of gravity is NEO, described by the company and recent coverage as the control layer for deploying and governing AI agents inside customer environments, with an emphasis on traceability, governance, and work inside regulated operating contexts [DealStreetAsia, October 2026] [TNGlobal, October 2026] [ONEBYZERO]. That positioning matters because the differentiation appears to rest less on proprietary foundation models and more on forward-deployed implementation, local enterprise integration, and customer willingness to run AI workloads within their own cloud estate, particularly on AWS [Digital News Asia, October 2026] [ONEBYZERO] [OneByZero Pte Ltd - Find an AWS Partner].

The founding bench is one of the more relevant parts of the story, even on the limited public record. Co-founder and CEO Niket Vaidya is described in financing coverage and company materials as having scaled enterprise AI work across Asian markets, while co-founder and CTO Vibhore Kumar has prior leadership history at Unscrambl, including a Bloomberg profile identifying him as that company’s CEO and co-founder [Digital News Asia, October 2026] [ONEBYZERO] [Bloomberg Markets, Retrieved 2026].

The business model is clearly B2B and currently looks services-heavy around deployment and operation, even as the company positions NEO as a repeatable platform layer [Asia Business Outlook, October 2026] [ONEBYZERO]. Public traction claims are directionally encouraging but should be handled conservatively because most operating metrics, including four-week pilot-to-production timing and customer outcome figures, come from company materials rather than independent reporting [ONEBYZERO] [OneByZero].

Over the next 12 to 18 months, the key questions are whether OneByZero can convert implementation momentum into repeatable platform economics, whether expansion beyond its reported nine markets and into Japan translates into durable enterprise accounts, and whether partnerships and designations around AWS and OpenAI produce measurable distribution rather than signaling value alone [Digital News Asia, October 2026] [DealStreetAsia, October 2026] [ONEBYZERO]. On the evidence available, this is an early but credible regulated-enterprise AI deployment story, with the investment case likely to turn on proof of repeatability more than proof of technical ambition [Digital News Asia, October 2026] [DealStreetAsia, October 2026].

Company-stated, unverified -- This section mixes independent funding coverage with multiple material product and traction claims that rely on company materials.

Taxonomy Snapshot

Axis	Value
Stage	Series A
Business Model	B2B
Industry / Vertical	Deeptech
Technology Type	AI / Machine Learning
Geography	Southeast Asia
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding	Series A, total disclosed approximately $20,000,000

How the Company Got Here

PUBLIC OneByZero presents itself as a Singapore-headquartered enterprise AI company built around a practical claim: regulated enterprises do not need more pilots, they need governed systems that can run inside production environments [ONEBYZERO]. The company was founded in 2023, operates from Singapore, and describes its work as helping enterprises become "AI-native" through governed AI coworkers deployed across banking, telecommunications, and retail environments in Asia Pacific and Japan [ONEBYZERO].

The public record is still thin, but the chronology is clear enough on a few points. By 2026, the company had formalized NEO as its deployment and control layer for enterprise AI workforces, and its website states that deployments run inside the customer’s cloud environment with governance and traceability built into the operating model [ONEBYZERO]. In October 2026, OneByZero disclosed a $20 million Series A led by Jungle Ventures, which multiple reports described as the company’s first external funding, with proceeds earmarked for expansion across Asia Pacific and entry into Japan [Digital News Asia, October 2026] [DealStreetAsia, October 2026].

What stands out in this early profile is less the age of the company than the shape of the bet. OneByZero is positioning itself as a forward-deployed enterprise AI operator rather than a pure software vendor, which matters because regulated customers often buy implementation certainty and governance alongside the model layer itself [ONEBYZERO]. That framing is company-led and still lightly corroborated in independent filings, but it is consistent across the website and financing coverage now in market [ONEBYZERO] [Digital News Asia, October 2026].

Lightly corroborated -- Founded year and headquarters are supported by the company website, and the Series A is corroborated by two independent news reports.

Product and Technology

Core product

MIXED OneByZero is positioning itself less as a model vendor and more as a deployment layer for regulated enterprises that want AI systems operating inside existing workflows. Public materials describe the company’s product as governed AI systems, or "AI Coworkers," deployed for banks, telecom operators, and retailers, with the NEO platform acting as the control layer that assigns roles, records activity, and grounds deployments in customer data [Digital News Asia, October 2026] [DealStreetAsia, October 2026] [ONEBYZERO]. The company also says each deployment runs inside the customer’s own cloud environment, specifically AWS, and that NEO is source-code-available, which matters because the commercial pitch appears to rest on control, auditability, and infrastructure locality rather than on a proprietary foundation model claim [ONEBYZERO] [OneByZero].

That architecture is described in practical rather than research terms. OneByZero says it works with enterprise teams to identify use cases, integrate into internal systems, move from pilot to production, and then continue operating the deployment, which reads more like forward-deployed implementation plus governance software than a pure SaaS motion [DealStreetAsia, October 2026] [Asia Business Outlook, October 2026]. The reported technology stack is anchored to Amazon Bedrock and Anthropic’s Claude Sonnet in at least one named deployment, Airyn, a social media automation system for PLDT and Smart, but those stack details should still be treated as deployment-specific unless the company documents them as universal across customers [OneByZero] [ONEBYZERO].

Governance, operating model, and evidence quality

MIXED The more interesting technical claim is not raw model performance, it is governability in production. OneByZero says every conversation and decision is logged, the platform is SOC 2 Type II compliant, and deployments are pre-built, pre-tested, and pre-governed, while third-party coverage also points to a Strategic Collaboration Agreement with AWS and an AWS partner listing that supports the company’s infrastructure alignment story [ONEBYZERO] [TNGlobal] [AWS]. That combination suggests the company is selling a compliance and operations wrapper around agentic workflows for enterprises that cannot accept black-box experimentation, although the public record does not yet provide a verified product demo with enough detail to evaluate observability, approval logic, fallback behavior, or model switching in depth.

Performance claims remain mostly company-supplied and should be read that way. The website cites pilot-to-production in four weeks on average, a 2.6x increase in live-channel engagement, and annualized cost savings in one deployment, while a company case study describes 93.7% social media automation for PLDT and Smart [ONEBYZERO] [OneByZero]. Those figures are directionally encouraging, but they do not yet establish cross-customer repeatability, and several broader claims in circulation, including >90% automation in some deployments and 50% faster data-modernization work, trace back to source chains that are not reliable enough for strong underwriting here [DealStreetAsia, October 2026].

Company-stated, unverified -- This section combines independent reporting with multiple company-only product and performance claims, and several material technical details remain unverified beyond the company's own materials.

Where the Demand Sits

PUBLIC

The market matters now because enterprises have moved past AI experimentation and are starting to pay for production deployments that can survive procurement, security review, and sector regulation, which is the lane OneByZero says it serves [Digital News Asia, October 2026] [DealStreetAsia, October 2026].

The available public record does not provide a named third-party TAM, SAM, or SOM specific to governed AI coworkers in regulated Asia Pacific enterprises, so the cleaner way to frame the market is through adjacent demand signals rather than force precision the evidence does not support. Coverage of OneByZero's Series A consistently describes the company as selling into large enterprises in regulated sectors, with current emphasis on financial services, telecommunications, and retail across Asia Pacific [Digital News Asia, October 2026] [DealStreetAsia, October 2026] [Asia Business Outlook, October 2026]. That matters because each of those sectors combines high interaction volumes, legacy system complexity, and a visible compliance burden, which tends to favor service-heavy deployment models over self-serve tooling.

The demand drivers in the source set are operational rather than speculative. OneByZero's public materials and financing coverage point to buyers looking for faster movement from pilot to production, governance over agent behavior, deployment inside a customer's own cloud environment, and measurable workflow improvement rather than general-purpose model access [ONEBYZERO] [TNGlobal] [DealStreetAsia, October 2026]. The company also frames its offering around identified use cases, integration into existing systems, and ongoing operation, which suggests spending is being justified as transformation or automation budget, not only experimental AI budget [ONEBYZERO] [Digital News Asia, October 2026].

A simple way to think about the adjacent markets is that OneByZero sits at the intersection of several already-funded categories rather than inside one neatly bounded software segment. The closest substitutes are enterprise AI services, data modernization work, contact center automation, and emerging agent orchestration layers, since the reported outcomes include customer interaction automation and faster data modernization work [DealStreetAsia, October 2026] [ONEBYZERO]. That positioning can widen the budget pool, but it also means the company may be compared against consultancies, cloud-native implementation partners, and internal transformation teams rather than against a single peer set.

Regulation is not incidental here, it is one of the reasons this segment may persist. OneByZero's materials emphasize governed deployment, activity logging, and operation inside the customer's AWS environment, while news coverage describes the company as targeting regulated enterprises and cites a Strategic Collaboration Agreement with AWS to scale governed AI agents across Asia Pacific and Japan [ONEBYZERO] [TNGlobal] [Digital News Asia, October 2026]. In practice, that means tighter data residency, auditability, and accountability requirements could support demand for controlled enterprise deployments even if base model pricing falls.

Market lens	Public evidence	Relevance to demand
Regulated enterprise AI deployment	OneByZero is described as serving financial services, telecommunications, and retail enterprises in Asia Pacific [Digital News Asia, October 2026] [DealStreetAsia, October 2026]	Supports a verticalized, compliance-aware deployment market rather than broad SME software spend
Production AI over pilots	Coverage says the company is expanding teams and product to move enterprise AI into production [Digital News Asia, October 2026] [TNGlobal]	Suggests budget is shifting from experimentation to implementation and operations
Customer-owned cloud architecture	OneByZero says deployments run inside the customer's AWS environment [ONEBYZERO]	Aligns with buyers facing security, governance, and procurement constraints
Automation and modernization budgets	Reported use cases include customer interaction automation and faster data-modernization work [DealStreetAsia, October 2026] [ONEBYZERO]	Indicates overlap with existing enterprise transformation budgets

The table does not size the market in dollars, but it does show where the purchasing logic sits. This looks less like a pure model-access market and more like a regulated enterprise implementation market, where architecture, controls, and delivery capacity matter as much as model quality.

Lightly corroborated -- Based primarily on named publisher coverage and company materials, with no confirmed third-party market sizing report in the available sources.

Competitive Landscape

MIXED OneByZero is positioned less as a model vendor and more as a forward-deployed enterprise AI operator, which places it in competition with large cloud ecosystems, systems integrators, and internal enterprise build teams rather than with a single clean peer set [Digital News Asia, October 2026] [DealStreetAsia, October 2026] [ONEBYZERO].

The competitive map breaks into three lanes. First are the platform incumbents, principally AWS in the evidence available here, which provides the underlying infrastructure and also shapes the governance, security, and deployment expectations that large enterprises now treat as table stakes [TNGlobal, October 2026] [OneByZero Pte Ltd - Find an AWS Partner]. Second are services-led challengers, where OneByZero appears to sit today: companies that identify use cases, integrate models into enterprise systems, and stay involved after deployment rather than selling a self-serve tool [DealStreetAsia, October 2026] [Asia Business Outlook, October 2026]. Third is the internal substitute, namely the CIO or data team that tries to assemble agent workflows directly inside its own cloud environment using foundation-model tooling and existing vendors. In regulated sectors, that last substitute matters because procurement teams may prefer to extend current cloud and consulting relationships before adding a new AI layer.

What looks strongest in OneByZero's favor is its attempt to collapse consulting, governance, and production operations into one offer. Public materials consistently describe NEO as a control layer deployed inside the customer's own environment, with logging and governance features intended for regulated enterprises [ONEBYZERO] [NEO · ONEBYZERO] [TNGlobal, October 2026]. That matters because the buyer concern is rarely model access alone. It is accountability, integration, and speed to production. The edge is real if OneByZero can keep shipping faster than generalist consultancies and if customer trust compounds around regulated deployments. It is also perishable. AWS, OpenAI ecosystem partners, and enterprise integrators can absorb similar governance language quickly, and the company's current distribution appears tied in part to partnership channels it does not fully own [ONEBYZERO] [OneByZero Pte Ltd - Find an AWS Partner].

The main exposure is that several of OneByZero's differentiators are closely adjacent to capabilities controlled by larger counterparties. AWS is a partner, but it is also the platform standard around which many other integrators can organize similar offers [TNGlobal, October 2026] [OneByZero Pte Ltd - Find an AWS Partner]. OpenAI partner status may help with credibility, yet that designation is not, on the public evidence here, a moat by itself because partner networks tend to broaden over time [ONEBYZERO]. The same is true of source-code-available deployment inside a customer's cloud. That is appealing for security-sensitive buyers, but it does not prevent an incumbent consultancy or a cloud-native internal team from proposing a comparable architecture. The practical risk is not a direct named startup rival in the current source set. It is disintermediation by the platform vendor, or substitution by enterprise IT groups that decide the control layer can be assembled from existing tools.

Over the next 18 months, the most plausible competitive scenario is a sorting of the market by proof of production outcomes rather than by model novelty. AWS looks like the likely winner if governed agent deployments continue to move from pilot budgets into core operating budgets, because it captures infrastructure spend regardless of which services layer prevails [TNGlobal, October 2026] [OneByZero Pte Ltd - Find an AWS Partner]. OneByZero can still benefit in that scenario if its forward-deployed model keeps conversion from pilot to production high, but the advantage will need to show up in repeatable enterprise references rather than in platform affiliation alone [Digital News Asia, October 2026] [ONEBYZERO]. The loser if enterprises standardize on native cloud tooling could be the standalone services-and-control-layer category itself, including OneByZero, particularly if buyers conclude that governance and orchestration are features to be procured from existing cloud and consulting relationships rather than from a separate specialist.

Opportunity

PUBLIC The prize here is not another enterprise AI tool, it is the chance to become the operating layer that regulated Asian enterprises trust when they move agentic AI from pilots into production.

The headline opportunity is straightforward: if OneByZero can turn its current services-led deployments into a repeatable control plane for governed AI workers, it could become a regional default for regulated-enterprise AI operations across banking, telecommunications, and retail in Asia Pacific [Digital News Asia, October 2026] [DealStreetAsia, October 2026] [Asia Business Outlook, October 2026]. That outcome is still early, but it is not purely aspirational. The public record shows a company with a disclosed $20 million Series A led by Jungle Ventures, a stated focus on regulated sectors, and a product narrative centered on NEO as the governance and deployment layer rather than only bespoke consulting work [Digital News Asia, October 2026] [DealStreetAsia, October 2026] [Asia Business Outlook, October 2026]. It also helps that management is already positioning the platform inside customer cloud environments and around auditability, both of which matter more in regulated buying cycles than model novelty does [ONEBYZERO] [TNGlobal].

The near-term question is whether that product layer can standardize faster than customer demands fragment it. The public evidence suggests a plausible path because OneByZero is not trying to sell self-serve AI software into greenfield accounts. It is selling deployment, governance, and operationalization into enterprises that already have data, workflows, and compliance constraints, exactly the conditions where forward-deployed engineering and in-cloud deployment can carry real weight [DealStreetAsia, October 2026] [ONEBYZERO] [TNGlobal].

Scenario	What happens	Catalyst	Why it's plausible
Regulated-enterprise control plane	NEO becomes the default governance and deployment layer for AI agents inside large APAC enterprises, with OneByZero monetizing both implementation and recurring platform usage	The AWS strategic collaboration helps move more enterprise AI projects from pilot to production across Asia Pacific and Japan [TNGlobal]	Public materials consistently describe NEO as the control layer for governed AI coworkers, and the AWS relationship is framed around production deployment, security, integration, and governance rather than simple referral traffic [ONEBYZERO] [TNGlobal]
Telco and bank land-and-expand	A small number of lighthouse deployments in telecom and financial services expand into broader workflow coverage, turning one use case into dozens of agent journeys per account	A category-tipping customer reference, such as the published telecom deployment with more than 50 automated customer journeys, gives buyers evidence that production breadth is achievable [OneByZero]	OneByZero already claims deployments in telecommunications, financial services, and retail, and one published telco case points to multi-journey expansion rather than a single chatbot experiment [DealStreetAsia, October 2026] [OneByZero]
APJ partner-led scale-up	OneByZero uses partner status and regional delivery presence to become an implementation standard for governed agentic AI in Asia Pacific and Japan	Expansion into Japan following the Series A, combined with AWS partner alignment and OpenAI partner branding, improves enterprise credibility in conservative buying environments [Digital News Asia, October 2026] [ONEBYZERO] [OneByZero Pte Ltd - Find an AWS Partner]	The company has publicly tied the Series A to APAC expansion and Japan entry, while also highlighting AWS and OpenAI ecosystem ties that can matter in enterprise procurement [Digital News Asia, October 2026] [DealStreetAsia, October 2026] [ONEBYZERO]

These scenarios point to the same underlying dynamic: one regulated deployment can become several if the company owns the integration surface, governance model, and operating cadence. The most important compounding mechanism is not a consumer-style network effect. It is implementation reuse. If OneByZero can take a governed agent pattern proven in one bank or telco, then adapt it across adjacent workflows with the same cloud, compliance, and observability architecture, customer acquisition costs should fall while expansion revenue per account rises over time, at least in principle [ONEBYZERO] [TNGlobal].

There are hints that this flywheel may already be forming, although the evidence is still mostly company-supplied. OneByZero says its deployments can move from pilot to production in four weeks on average, offers pre-built and pre-governed agents, and has published a telecom case with more than 50 automated customer journeys, all of which imply some degree of repeatable delivery rather than one-off model experimentation [ONEBYZERO] [OneByZero]. The OwlWorks acquisition claim, if operationally meaningful, could also strengthen this compounding loop by adding orchestration capabilities that make broader multi-agent rollouts easier inside existing accounts [OneByZero].

The size of the win is difficult to benchmark cleanly because no public market comparable in the provided source set offers a directly cited valuation framework for this exact category. Even so, the scenario is economically legible. If OneByZero were to become a trusted regional control plane for governed enterprise AI across regulated sectors in APJ, the outcome could support a business worth well beyond its current financing stage, potentially in the low-single-digit billions of dollars (scenario, not a forecast), because the company is aiming at recurring software-plus-services spend embedded in core operations rather than discretionary experimentation [Digital News Asia, October 2026] [DealStreetAsia, October 2026]. That upside depends on productization outrunning services intensity, but the public evidence is enough to treat the ceiling as real rather than theoretical.

Company-stated, unverified -- This section relies on two independent funding reports for the Series A and expansion plans, but several material premises about product capabilities, partnerships, deployment speed, and case-study outcomes remain company-supplied or only partially corroborated [Digital News Asia, October 2026] [DealStreetAsia, October 2026] [ONEBYZERO] [TNGlobal] [OneByZero].

Sources