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SmallBiz.ai Launches to Help Small Businesses Turn AI Into More Sales, Lower Costs and Simpler Operations

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Built on ToolsInfo.com technology intelligence and AICost.ai cost and governance intelligence, SmallBiz.ai helps businesses reuse existing software, connect workflows, reduce tool clutter and deploy affordable AI and automation to accelerate their business growth

Book a $49 Automation Consult at smallbiz.ai/services and leave with a workflow automation plan customized to grow your business today.

IRVINE, Calif., Sept. 4, 2026 /PRNewswire/ — SmallBiz.ai, launched today by Irvine-based CloudIntelligence.ai, is designed to help small businesses use AI and technology to increase sales, reduce repetitive labor and simplify operations, without adding another layer of disconnected software. The platform starts with the business outcome, then uses intelligence from ToolsInfo.com and AICost.ai to identify the most cost-effective combination of existing tools, integrations, open-source components, open-weight models and AI automation that delivers that outcome for the small business, with governance of data, privacy and intellectual property built in from the start.

SmallBiz.ai helps small businesses turn AI into more sales, lower costs and simpler operations with AI-powered automations for 500 small business types, backed by 275+ workflows, a 67K-tool knowledge base and 120+ AI cost decision engines. It is the automation destination for small business owners looking to accelerate growth in the AI age.

Twelve of the most requested small business automation centers at SmallBiz.ai:

Automation for HVAC contractors

Dental Practice Automation Center

Law Practice Automation Center

Automation for Accounting & bookkeeping firms

Automation for Property management companies

Restaurant Automation Center

Automation for Auto repair shops

Automation for Med spas

Real Estate Automation Center

Solopreneur Automation Center

Automation for Marketing agencies

Automation for the Gig Workers and Digital Economy

AI powered workflows for Small Business – automations for sales, marketing, daily operations, accounting, customer relationships, support & more are giving small businesses the critical competitive edge they need in today’s economy and even more so for future.

AI adoption for small business automation is becoming an integration problem. Industry research through 2026 tells a consistent story: roughly 80% of small businesses now use AI regularly, but fewer than one in five call it core to operations, and about a third cite lack of integration between their digital tools and systems. Only a small fraction, less than 10% of AI-using workers at small businesses, use it to automate workflows with minimal human involvement.

The question small business owners are left with is the one SmallBiz.ai was built to answer: what should I automate, with what, and how do I make it work safely?

The workflows are live. One of 275+ small business workflows on SmallBiz.ai, Turn Voice Notes Into Job Reports (https://smallbiz.ai/w/post-service-note-automation), turns a spoken post-service note from a nurse, plumber or technician into a structured record routed to its existing systems, modeled to save roughly 20 staff hours a month under its stated assumptions. The same workflow appears in two different SmallBiz.ai Automation Centers, the family clinic (smallbiz.ai/b/family-physician) and the plumber (smallbiz.ai/b/plumber), each mapping its workflows, tools and playbooks. All 275+ small business workflow blueprints and 500+ SmallBiz.ai Automation Centers are free.

The problem is familiar. A customer calls while everyone is on a job; nobody follows up. An estimate goes unchased and an invoice unpaid, while the business pays for a CRM, scheduling, accounting and AI subscriptions that do not work as one system. Small businesses do not need more technology; they need what they already have, and whatever they add next, to work together and produce an outcome they can measure: more sales, lower labor cost, faster service or simpler operations.

It starts by asking what kind of business you run, what you do in it and what you want to accomplish, then works backward, reusing existing software and deploying focused automation only where it pays for itself.

“Small business owners ask us one question: what should I automate that actually moves the business needle?” said Subramanyam Vdaygiri, founder of CloudIntelligence.ai. “Behind it are three more: will it grow sales or protect my margins, will it work with the tools I already run, and is my data safe?”

“So we built the answer: 275+ workflows across 500 small business types, on top of our vast tools knowledge base and the AICost.ai platform. To avoid tool clutter we build just the features a business needs as custom middleware rather than adding another subscription, and use proven open source where it fits, priced to implement and maintain for years, with security and governance built in. The phone gets answered, the lead followed up, the invoice paid.”

The whole small business automation knowledge base is free at SmallBiz.ai: the workflows, nearly 5,000 tools guides, checklists and comparisons, the tools integrations and the AvatarVA semantic chatbot that answers whatever an owner asks. SmallBiz.ai is a destination for every small business interested in implementing AI powered automations.

Living up to its name, SmallBiz.ai makes AI a core automation pillar: integrations now deploy quickly and with fewer resources than ever, and as AI prices fall it is helping small businesses get more customers, convert and keep them, save owner and staff time, improve cash flow, get paid faster, cut costs and labor, run the business better and reduce risk. Backed by AICost.ai, implementations stay affordable across the range: a simple step that turns a voicemail into a written message and a follow-up task, a RAG support assistant answering customers questions from the business’s own documents, or agentic automations running daily operations.

SmallBiz.ai draws on 67,000+ tools, 275+ mapped workflows, nearly 2,800 role guides, 500+ small business types and 88 curated free and open-source alternatives, with AICost.ai’s 120+ cost and governance decision engines evaluating economics, scaling, model choices and governance constraints. Each business type gets its own Automation Center, a living page with its workflows, top tools, playbooks and guides: a solo attorney starts at smallbiz.ai/b/solo-practice-attorney, with all 500 at smallbiz.ai/workflows.

Because the platform is built by practitioners for owners, engagement starts small and stays affordable: a $49 one-hour Automation Consult (credited toward any implementation), a $299 AI Business Blueprint that delivers a written plan with ranked opportunities and a 90-day roadmap, and a $29 per month Automation Advisor retainer. Workflow implementations are quoted after the consult, scoped to business size.

“The next wave of technology decisions will not be made only by people,” said Hanvish Vdaygiri, data scientist and AI engineer at CloudIntelligence.ai. “AI agents will increasingly select and connect tools on a business’s behalf. That requires machine-readable intelligence linking business outcomes to workflows and tool capabilities, then applying cost, privacy, security and governance constraints. We are building those connected intelligence layers across ToolsInfo.com and AICost.ai, with SmallBiz.ai applying them to the needs of small businesses.”

SmallBiz.ai is built on the CloudIntelligence.ai core intelligence platform of ToolsInfo.com (technology and role intelligence), AICost.ai (AI cost, policy and governance decision intelligence) and AvatarVA.com (semantic engine), with vertical applications for healthcare, legal and managed service providers.

Start free at https://smallbiz.ai. Partnership, strategic and corporate inquiries: mailto:partner@cloudintelligence.ai.

Additional Platform and Methodology Background

Five Ways SmallBiz.ai Is Different

Outcome-first, not software-first. Every engagement starts with the outcome and works backward; the answer may be a commercial tool, an integration, an open-source component, a narrow agent, or no new software at all.

Reuse before purchase, small builds over bloatware. Tools the business already owns beat theoretically better replacements, and custom builds stay at two or three features, not two hundred.

Intelligence at the business-type and role level. 500+ Automation Centers give each business type its own workflows, tools, playbooks and guides, and nearly 2,800 role guides do the same for the individual.

Cost and governance built into every blueprint. Every automation carries a cost estimate, scaling projection and human-approval points from the AICost.ai engines below.

Built for people today and AI agents tomorrow. The intelligence layer is machine-readable, linking outcomes to workflows, capabilities, tools, models, costs and constraints, so agents selecting technology for a business can act safely and economically.

The Problem: Work Falls Between the Tools

A company may own every capability it needs and still lose a customer because nothing connects lead, response, qualification, CRM, appointment, estimate and payment.

Independent surveys through 2026 put full integration of AI into core operations at roughly one in seven small businesses, while transaction data shows only about one in eight paying for a dedicated AI tool, and the large majority of those who did keep paying year over year.

And the highest-value automation is often the least glamorous. Industry payment research in 2026 found roughly six in ten small businesses carrying invoices overdue by at least 30 days and nearly half reporting that payment-processing times create cash-flow gaps even after customers pay. Manual processes are the leading cause of delayed payments, and the research associates faster follow-up and automation with fewer overdue invoices.

An automated lead to quote to invoice to reminder to payment to bookkeeping workflow is often worth more than a sophisticated autonomous research agent. A live blueprint, Turn Completed Jobs Into Invoices (smallbiz.ai/w/instant-quote-to-invoice-conversion), sends a payment-linked invoice the moment a job is marked complete, modeled to save roughly 15 hours a month. All 275+ blueprints: smallbiz.ai/workflows.

Methodology: Cost-Effective Workflows That Deliver Business Outcomes

SmallBiz.ai begins with what the business is trying to accomplish, what it already owns and what is missing. This makes it a platform for software consolidation, SaaS sprawl reduction, open-source business software adoption, custom AI agents, workflow integration and cost-effective AI implementation.

The decision chain:

Outcome → Existing Stack → Workflow → Capabilities → Reuse → Integrate → Automate → Measure

Principles applied at every step:

Use what the business already owns. A tool that is deployed, paid for and understood often wins.

Build narrowly. Solve the missing capability instead of buying 200 features to use three.

Let open-source software compete. Commercial software must win on merit, not by default.

The Two Intelligence Layers Behind SmallBiz.ai

ToolsInfo.com, the tool graph:

67,000+ evaluated tools across 5,700+ categories

275+ mapped business workflows with the tools and steps behind them

Nearly 2,800 role guides and 5,000+ tool selection guides, checklists and comparisons

88 curated free and open-source alternatives evaluated for deployment

A substitution principle: a tool the business already runs beats a better tool it would have to adopt

AICost.ai, the cost and governance graph:

120+ deterministic decision engines, from RAG to agentic AI to physical AI, with assumptions, confidence and dated evidence on every result

Agentic cost realism: retries, loops and growing context are priced before deployment; budgets, caps and kill switches make an automation stop at a cap, not at an invoice

Model strategy on evidence: frontier, open-weight and self-hosted models from global providers compared on capability, total cost, data boundaries, licensing and jurisdiction; no vendor pays for placement

A 20-module, 200-question governance framework covering data handling, privacy, intellectual property and human approval

Vendor evidence, not guesses: 39,531 documented governance facts across 4,148 vendors, kept as stated, not stated or contradictory

AvatarVA.com is the semantic engine of the CloudIntelligence.ai fabric: a multi-tenant knowledge engine on LanceDB vector stores powering hybrid semantic search and guided chat across SmallBiz.ai, ToolsInfo.com and AICost.ai, and semantic chat over 3 million research papers at AIPapers.ai.

Role-Based Intelligence: Every Role Has Its Own Best Stack

Most technology advice stops at the company level. SmallBiz.ai and ToolsInfo.com go one level deeper: nearly 2,800 roles, each with its own workflows, tools and guides, browsable at toolsinfo.com/roles. A hospital makes the point: a radiologist, a pharmacist and a nurse work in the same building but need entirely different stacks; role-level intelligence improves each person’s productivity while keeping every role current with AI.

One Intelligence Layer, Very Different Businesses

Cost figures marked * are illustrative, modeled with AICost.ai decision engines; actuals depend on volume.

A family clinic (healthcare). Two nurses lose hours daily to phone tag, intake and no-show follow-up; the outcome is intake done before the visit.

Booking in the existing EHR triggers an SMS confirmation and open-source digital intake; one custom AI component summarizes intake for the nurse, drafts reminders and flags non-responders to the front desk, where a human decides. Total added cost runs roughly $60 to $120 per month in AI and messaging.*

Governance is treated as part of the implementation, not an afterthought: intake text is PHI, so the blueprint keeps summarization inside BAA-covered or self-hosted infrastructure, verifies vendor evidence on retention, training use and BAA coverage, and requires a human before any non-templated patient message. Clinic Automation Center: smallbiz.ai/b/family-physician; healthcare-specific governance at healthitcost.com.

A 12-person managed service provider (MSP). Its clients adopt AI faster than it can track; the outcome is turning AI oversight into recurring managed revenue.

Per-client AI inventory, the 20-module governance assessment, findings pushed into the PSA the MSP already runs, cost attribution through its existing gateway, and a monthly branded report. Per-client budgets, turn limits and kill switches are set with CostWall engines before deployment, so a runaway client agent becomes a capped, explained line item, not a surprise invoice. Vendor questions are answered from the documented evidence base, never guessed. MSP playbooks: mspcost.com.

A small law firm (legal). Four attorneys want AI drafting speed without putting privileged material at risk.

Conflict check runs in the existing practice management system, intake and document assembly on Docassemble, an open-source legal platform, then a small custom router sends privileged text only to a self-hosted open-weight model while routine text uses an approved cloud model. Attorney review is a non-removable node.

AICost.ai engines answer, in dollars, when self-hosting beats per-token cloud pricing,* and vendor terms are checked for training and retention clauses first. Solo Attorney Automation Center: smallbiz.ai/b/solo-practice-attorney; legal-specific boundaries at legalitcost.com.

An independent journalist or blogger. The outcome: hours back each week and airtight source protection.

Interviews are transcribed locally with open-source Whisper, so audio never leaves the journalist’s machine; a small custom pipeline produces summaries, pull quotes and repurposed drafts, and the human fact-check and byline remain the approval gate.

Any cloud model touching drafts must carry no-training, no-retention terms; sources and unpublished work are the journalist’s most sensitive assets. Journalist role guide with use cases, tool comparisons and workflows: toolsinfo.com/role/journalist.

Across the examples, existing systems are preserved, custom builds stay narrow, and humans keep consequential decisions; how customer data and intellectual property are handled matters more than any feature list, so every blueprint is bounded by AICost.ai’s 20-module, 200-question governance framework.

Services and Pricing

Start small, prove value, add implementation where the economics make sense.

Service

Price

What it includes

Automation Consult

$49, one hour

Live working session; fee credited
toward any implementation

AI Business Blueprint

$299 fixed

Written plan: AI inventory, 10 ranked
opportunities, top 3 workflows,
integration diagram, risks with
human-approval points, 90-day
roadmap; credited if implemented

Automation Advisor

$29 per month

Ongoing advisory retainer

Workflow Implementation

Quoted after consult

Built-for-you deployment of selected
workflows, scoped to business size

The CloudIntelligence.ai Ecosystem

Core intelligence platform:

ToolsInfo.com provides technology, tool, role and workflow intelligence: the portfolio’s data layer.

AICost.ai provides AI cost, policy and governance decision intelligence through 120+ machine-callable engines.

AvatarVA.com provides the multi-tenant semantic engine behind chat, search and discovery across the portfolio.

Customer-facing applications:

SmallBiz.ai translates that foundation into outcome-first implementations for small businesses.

CostOptimization.ai extends cost intelligence to AWS, Azure and GCP.

ToolsInfo.com determines what technology can do. SmallBiz.ai determines what a business should use. AICost.ai determines what it should cost, what it may do and how the decision is governed. Together, the platforms connect business outcomes to workflows, workflows to technology capabilities, capabilities to tools and AI models, and those choices to economics, policy and governance.

About SmallBiz.ai

SmallBiz.ai is an AI and technology decision-intelligence platform for small businesses, designed to turn outcomes such as answered leads, booked appointments and paid invoices into practical, cost-effective implementations. Built on ToolsInfo.com technology intelligence and AICost.ai cost and governance intelligence, SmallBiz.ai helps businesses reuse existing systems, reduce software clutter, connect workflows, deploy focused AI automation and measure the results. Learn more at https://smallbiz.ai.

About CloudIntelligence.ai

CloudIntelligence.ai, based in Irvine, California, develops semantic technology, workflow, AI cost and governance decision intelligence for people and, increasingly, AI agents acting on their behalf. An NVIDIA Inception member. Partnership and corporate inquiries: partner@cloudintelligence.ai.

Media Contact

[Subu Vdaygiri]

CloudIntelligence.ai

[Subu.Vdaygiri@cloudintelligence.ai]

[(949) 378-7860]

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Moonlock by MacPaw Wins Red Dot Award 2026

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September 7, 2026

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Moonlock earns recognition in the Interface & User Experience Design category, proving that thoughtful design belongs in cybersecurity as much as anywhere else.

BOSTON, Sept. 7, 2026 /PRNewswire/ — MacPaw is proud to announce that Moonlock, its antivirus and protection app for Mac users, has been named a winner of the 2026 Red Dot Award: Brands & Communication Design, recognized in the Interface & User Experience Design category. The award is an international mark of design excellence, judged on the strength of an idea, its execution, and its real-world impact.

Since launching in October 2025, Moonlock has taken a different approach to cybersecurity, reflected in every detail of the app. Its intuitive interface, plain-spoken copy, and hand-drawn illustrations replace the cold, technical tone common to security software. The result is a security app making protection feel easy and stress-free for everyone, expert or not.

Clear, human, beautiful products are a core MacPaw value, and the company pays attention to every detail, from aesthetics to user experience. Moonlock is no exception: it was built to make cybersecurity accessible to everyone, whatever their background — and design is central to that mission.

“Cybersecurity has a reputation for being intimidating — all alerts and jargon, with the sense that you need to be an expert just to stay safe. We built Moonlock to change that,” said Oleg Stukalenko, Head of Product Management at Moonlock by MacPaw. “From the start, we wanted it to feel human and welcoming, so that online protection becomes a natural part of everyday life rather than something people worry about. We think of design as everything someone actually experiences with us, not just the screen in front of them. Having the Red Dot jury recognize that work means a lot to the whole team.”

The Red Dot Award: Brands & Communication Design celebrates the craft behind how a product looks, feels, and speaks to the people who use it. Held since 1993, the competition is open to established and emerging designers, agencies, and companies across 18 categories. Each year, an international jury of 30 experts from design, science, media, and consultancy evaluates the entries, bringing a wide range of professional and cultural perspectives to every decision.

With this win, Moonlock continues MacPaw’s legacy of design excellence. It is the company’s fourth Red Dot Award: in 2017, Gemini 2 became the first macOS application to win the honor, followed by CleanMyMac in 2021 and CleanMy®Phone in 2024.

About Moonlock

Moonlock is a part of the MacPaw ecosystem that offers simple, approachable, and stress-free Mac protection and antivirus capabilities.

About MacPaw

MacPaw is a global technology company founded in Kyiv, Ukraine, with offices in Boston, MA and the EU, creating a digital ecosystem for Mac users. Combining capabilities such as system care, cybersecurity, app discovery, and more, the ecosystem aims to unite MacPaw’s suite of software, third-party tools, and AI solutions to collaborate on behalf of the user. Through Eney, an AI-powered assistant and the interface of the ecosystem, MacPaw aims to help users and developers within their workflows, driving the next generation of human-computer interaction.

Contacts

pr_team@macpaw.com 

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DBGallery Delivers “AI Knowledge Layer for Visual Assets,” Bringing Automated Enterprise DAM to Organizations of All Sizes

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18 minutes ago

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September 7, 2026

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Automated AI metadata converts photos and videos into structured organizational knowledge, transforming digital chaos into a strategic advantage without the manual effort.

TORONTO, Sept. 7, 2026 /PRNewswire-PRWeb/ — DBGallery today announced the expansion of its visual intelligence capabilities, formally positioning its platform as an AI Knowledge Layer for Visual Assets for organizations and teams of all sizes. By replacing manual keywording with automated AI metadata analysis, DBGallery converts raw photos, graphics, and video into rich, structured organizational knowledge the moment they are uploaded.

For years, visual assets lost value because nobody had the bandwidth to tag them. With an automated metadata layer, that changes completely. Visual media becomes instantly discoverable, creating compounding, multi-year value, and puts DAM within reach of more organizations.

Historically, Digital Asset Management (DAM) was reserved for large media organizations with dedicated archiving staff. Resource-constrained teams across tourism boards, municipalities, higher education, non-profits, and marketing teams across numerous industries were locked out by the sheer labor required to manually tag thousands of files—turning vast digital asset libraries into unsearchable “file graveyards.”

DBGallery’s AI Knowledge Layer changes that economic equation by shifting DAM from a labor-intensive requirement into an automated, accessible workflow hub.

“For years, visual assets lost value over time because nobody had the bandwidth to tag them properly,” said Glenn Rogers, Director of Product and Project Management at DBGallery. “When you introduce an automated metadata knowledge layer, that changes completely. Visual media becomes instantly discoverable through structured context, custom prompt targeting, embedded OCR text, and interactive video transcripts. The metadata doesn’t just solve today’s search, it creates compounding, multi-year value for the entire organization, and brings DAM within reach to more organizations.”

Key Capabilities of the DBGallery AI Knowledge Layer include:

Automated Auto-Enrichment: Extracts OCR text from images and PDFs, identifies objects and faces, and summarizes photo and video content upon upload or subsequent batch analysis.Custom AI Description Prompts: Admins and users can tailor global or image-specific prompts to extract structured domain data—ranging from architectural style identification and brand compliance to social media captions and emotional tone analysis—and can be outputted as HTML or JSON for direct ingestion into websites or ERP systems.Interactive Video Transcription & Timelines: Generates time-stamped, sentence-by-sentence spoken transcripts aligned with video playback, allowing teams to click any transcript line to jump instantly to that exact moment in the video.Non-Spoken Scene Analysis: Automatically inserts AI visual scene descriptions into pauses in speech or non-verbal video clips, ensuring complete visual context alongside spoken transcripts.

This AI framework is integrated directly into DBGallery’s production-proven platform, capable of scaling to millions of assets and thousands of users. Designed specifically for multi-user team collaboration, the platform combines Single Sign-On (SSO) and granular action-level permissions with full audit trails, custom metadata fields, usage analytics, and cloud or on-premises deployment options.

By combining cutting-edge AI automation with a secure, highly scalable foundation, DBGallery allows organizations of any size to deploy enterprise-grade digital asset management without adding administrative headcount or compromising on data governance.

To explore the AI Metadata Value Chain or learn more about DBGallery’s enterprise AI capabilities, visit https://dbgallery.com/ai.

About DBGallery

DBGallery is a leading Digital Asset Management (DAM) platform trusted by over 100+ brands across more than 25 countries, ranging from non-profits and educational institutions to global enterprise organizations. By combining scalable SaaS or on-premises architecture with powerful AI metadata automation, DBGallery empowers teams of any size to organize, discover, and turn visual media into structured, searchable business data. Learn more at https://dbgallery.com and https://dbgallery.com/ai.

Media Contact

Glenn Rogers, DBGallery, 1 8888080381, grogers@dbgallery.com, https://dbgallery.com

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Coda Launches Fresh Coda.co Website, Built for Publisher Growth

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September 7, 2026

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SINGAPORE, Sept. 7, 2026 /PRNewswire/ — Coda today launched a revamped Coda.co website, creating a more comprehensive destination to explore Coda’s products, pricing, insights, and global capabilities.

The new Coda.co has been rebuilt to meet the needs of Coda’s B2B audiences, with gaming remaining at the heart of Coda’s business and expertise. The site also reflects how Coda is bringing that experience to a growing range of digital commerce businesses across entertainment, education and other verticals.

Designed to make it easier to evaluate opportunities with Coda, the site brings together practical information on market dynamics and local payment preferences alongside richer product pages, case studies and pricing.

The new Market Guides provide a country-level view of consumer behavior, payment preferences, and growth opportunities across 49 markets, while the Payment Guides go deeper on 94 individual payment methods worldwide, covering reach, adoption, and integration considerations.

Coda has also introduced a dedicated Pricing page that offers greater transparency into standard and custom pricing options, payment method coverage, and other commercial considerations. This sits alongside an expanded repository of case studies, white papers, and blog posts, providing deeper insight into why businesses choose Coda and how they use its Merchant of Record service and broader product suite to grow revenue, enter new markets, and build stronger direct-to-consumer channels with ease.

Shane Happach, CEO of Coda, said, “Publishers and brands are making decisions across more markets, payment methods and channels than ever. Our job is to bring clarity to that complexity. The new Coda.co provides a sharper view of the commercial opportunities we see and how Coda’s products and services help our partners turn that potential into meaningful growth. Gaming remains central to Coda, and the expertise we’ve built in the industry continues to shape how we help partners grow across digital commerce.”

The new Coda.co launch marks another milestone in Coda’s evolution as a global digital commerce leader, with a site designed to grow alongside its products, partnerships, and ambitions. The website will be available in Japanese, Chinese, and South Korean languages by the end of the year.

Learn more at the new www.coda.co

About Coda

Coda is a global leader in monetization, distribution, and commerce, trusted by the biggest names in gaming, entertainment, and technology, including Activision, Electronic Arts, Riot Games, Ubisoft, and Moonton. Founded in 2011 and headquartered in Singapore, Coda operates with 670+ employees worldwide, with core hubs in Asia and Europe. Coda combines payments, commerce, distribution, and rewards to drive global revenue growth for brands and publishers.

Coda’s products include Codapay, which provides access to 400+ payment methods across 80+ markets through a single API integration; Coda Webstore, which powers fully customized direct-to-consumer storefronts; Coda Consumer Platforms, including Codashop, Recharge.com, and Startselect.com; Coda Distribution, which extends reach through a network of commerce partners; and Giftcloud, a UK-based rewards business serving enterprise customers across Europe.

Coda is backed by Apis Partners, Insight Partners, Smash Capital, and GIC, and has been named an APAC High Growth Company (2023) by Financial Times, one of Granite Asia’s NextGenTech 30 (2024), a payments leader on Fortune’s Fintech Innovation Asia list (2024), and listed among The Straits Times Fastest Growing Fintechs (2024). For more on Coda, visit coda.co.

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