Dapta
AI voice and text agents for SMB sales automation to convert inbound leads faster.
Website: https://dapta.ai/
Cover Block
Open sources
| Field | Value |
|---|---|
| Name | Dapta |
| Tagline | AI voice and text agents for SMB sales automation to convert inbound leads faster. |
| Headquarters | Miami, United States |
| Founded | 2022 |
| Stage | Seed |
| Business Model | SaaS |
| Industry | Other |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | SMB / Main Street |
| Founding Team | Co-Founders (3+) |
| Funding Label | Seed |
| Total Disclosed Funding | ~$7.4 million [Refresh Miami, October 2026] |
Links
Open sources
- Website: https://dapta.ai/
What an Investor Needs First
PUBLIC Dapta builds AI voice and text agents for small and medium-sized businesses, and it merits attention now because its October 2026 seed financing gives investors a fresh marker on whether a Latin America-rooted automation product can become a scaled SMB sales platform in the U.S. and across the region [Refresh Miami, October 2026] [Citybiz, October 2026]. The company appears to have started from a practical integration problem rather than a top-down AI thesis: early coverage described Dapta as an AI-assisted, low-code API development platform, while more recent coverage and company materials position it as an AI sales automation product built to handle inbound leads and related workflows for nontechnical operators [Refresh Miami, December 2023] [LatAmList, December 2023] [Dapta AI, retrieved]. That product evolution is the central point to track, because the differentiation now rests less on API tooling alone and more on whether Dapta can package conversational automation, integrations, and deployment simplicity into a repeatable SMB sales motion [Dapta AI, retrieved] [Dapta Docs, retrieved] [Refresh Miami, October 2026].
The founding team is led publicly by CEO and co-founder Nicolás Rojas, whom multiple sources identify as a Colombian entrepreneur; Forbes Colombia also names Daniel Ordóñez and Alejandra Henao as co-founders, with Henao separately identified as part of the founding team and Head of Growth in later profile material [Refresh Miami, December 2023] [Forbes Colombia, March 2024] [Inspiring Women: Aleja Henao Espitia, retrieved 2026]. On capital formation, the cleanest public read is that Dapta disclosed a $6 million seed round in October 2026 led by Chingona Ventures, with Crew Capital, Broom Ventures, and Cometa VC participating alongside existing investors including 500 Global and Fen Ventures, bringing total disclosed funding to about $7.4 million [Refresh Miami, October 2026] [Citybiz, October 2026]. The business model is SaaS, but public traction data should be treated carefully: sources cite more than 1,500 customers including 85 paying customers in April 2024, more than 27,000 businesses by February 2026, and over 1,500 companies across 37 countries in later profiles, figures that likely reflect different definitions and are not reconciled in the available reporting [ENTER.CO, April 2024] [Emerge Americas, February 2026] [Contxto, retrieved 2026].
Over the next 12 to 18 months, the question is less whether there is demand for AI-assisted sales automation in SMBs and more whether Dapta can show consistent paid adoption, product coherence after its repositioning, and durable expansion beyond an initial Spanish-speaking wedge in the United States and Latin America [ENTER.CO, April 2024] [Refresh Miami, October 2026] [Citybiz, October 2026].
Partially corroborated -- This section relies on named-publisher coverage for funding, company evolution, and founder identification, but several operating metrics and current product claims remain company-linked or unreconciled across sources.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Seed |
| Business Model | SaaS |
| Industry / Vertical | Other |
| Technology Type | AI / Machine Learning |
| Geography | North America |
| Growth Profile | SMB / Main Street |
| Founding Team | Co-Founders (3+) |
| Funding | Seed, total disclosed about $7.4 million [Refresh Miami, October 2026] |
Inside the Company
PUBLIC
Dapta appears to be a 2022-founded software startup operating from Miami, with public materials positioning it around AI-driven automation for small and medium-sized businesses [Crunchbase] [Dapta AI, retrieved]. The current website frames the company around AI voice and text agents for SMB sales automation, while Crunchbase classifies it as a seed-stage company headquartered in Miami, United States [Dapta AI, retrieved] [Crunchbase].
The public record also suggests a material product evolution rather than a static company story. The current website emphasizes inbound lead conversion and sales workflows through conversational AI agents, but the same company presence also references ERP integrations and data synchronization across inventory, sales, and shipping workflows, indicating a broader automation foundation beneath the sales use case [Dapta AI, retrieved].
Chronology is clearer on the basic milestones than on the legal structure. Crunchbase lists Dapta as founded in 2022 and shows seed-stage financing activity, while the company website presents the current operating identity and product positioning but does not, in the cited materials here, establish a public legal entity name or filing detail [Crunchbase] [Dapta AI, retrieved].
Claim stands unchecked -- This section relies on Crunchbase and the company website, with material claims about positioning and chronology not independently corroborated by state filings in the cited record.
Under the Hood
MIXED
The product story matters here because it has shifted in public, and the shift is material. Early coverage in late 2023 described Dapta as an AI-assisted, low-code platform for building and integrating APIs, with initial use cases in financial services, e-commerce, and healthcare [Refresh Miami, December 2023] [LatAmList, December 2023]. By 2024 and 2026, the company was instead presenting itself as an AI sales automation platform for SMBs, centered on voice and text agents that handle inbound leads and automate parts of the sales workflow [Dapta AI, retrieved] [ENTER.CO, April 2024] [Refresh Miami, October 2026]. That evolution is plausible for an automation startup serving nontechnical operators, but investors should read it as a product repositioning rather than a straight-line continuation of the original API tooling thesis [Refresh Miami, December 2023] [Refresh Miami, October 2026].
The current public product surface is broad but still described at a fairly high level. On its website and documentation, Dapta markets conversational AI voice agents and text agents for SMB sales automation, alongside a platform for developing and deploying AI agents and automations [Dapta AI, retrieved] [Dapta Docs, retrieved]. The company also says it automates marketing workflows, integrates with existing tools, and supports ERP-linked synchronization for inventory, sales, and shipping data, particularly for e-commerce, while maintaining a consistent experience between physical point of sale and e-commerce channels [Dapta AI, retrieved 2026]. Public press coverage adds that the near-term wedge has been inbound lead conversion for Spanish-speaking SMBs in the U.S. and Latin America, which gives the product a clearer buyer entry point than the company website alone does [ENTER.CO, April 2024] [Citybiz, October 2026].
What is still missing from the public record is equally useful. There is no verified public demo in the materials provided that establishes model providers, deployment architecture, observability, or security controls, and there are no reliable job-posting details here from which to infer a stack. The evidence therefore supports a view of Dapta as an application-layer AI workflow and sales agent product with integration depth as part of the pitch, but not a view on underlying technical defensibility beyond those claims [Dapta AI, retrieved] [Refresh Miami, October 2026].
Claim stands unchecked -- This section relies primarily on company website and documentation claims, with partial support from named-publisher press coverage.
Market Research
Open sources This market matters now because small businesses are being asked to respond to leads instantly, across more channels, with fewer human operators, and Dapta is positioning itself at that junction of labor pressure and AI-enabled software adoption [Refresh Miami, October 2026] [Citybiz, October 2026].
The public record does not provide a clean, company-specific TAM, SAM, or SOM from a named third-party market study, so the safer approach is to anchor on the market Dapta has actually described. In 2023 and early 2024, the company was framed as an AI-assisted, low-code API and workflow platform serving categories such as financial services, e-commerce, and healthcare [Refresh Miami, December 2023] [LatAmList, December 2023] [Forbes Colombia, March 2024]. By October 2026, the positioning had narrowed toward AI voice and text agents for SMB sales automation, with an emphasis on helping nontechnical operators convert inbound demand more quickly in the U.S. and Latin America [Dapta AI, retrieved] [Refresh Miami, October 2026] [Citybiz, October 2026]. That shift implies the relevant market is less "all business automation" and more the overlap of SMB CRM, contact-center software, conversational AI, and sales engagement for inbound lead handling.
The most visible demand driver in the cited material is response-time compression. Dapta's current product language centers on automating inbound-lead handling and sales workflows, while third-party coverage repeatedly frames the product around giving small businesses AI capability without requiring an internal engineering team [Dapta AI, retrieved] [Refresh Miami, October 2026] [Citybiz, October 2026]. The earlier version of the company, focused on API integration and low-code automation, points to a second tailwind that appears persistent across both product eras: SMBs and midmarket operators still face messy system connectivity, especially when sales, commerce, inventory, and customer communication sit in separate tools [Refresh Miami, December 2023] [LatAmList, December 2023] [Dapta AI, retrieved 2026]. In practical terms, the bet is that AI agent adoption at the small-business layer will be pulled not only by model quality, but by workflow consolidation and easier deployment.
The adjacent markets are broad enough to matter. Dapta's own materials reference ERP synchronization for inventory, sales, and shipping, and describe a consistent experience between physical point of sale and e-commerce through APIs [Dapta AI, retrieved 2026]. That places the company near commerce infrastructure and operations software, not only sales tooling. It also means substitutes are easy to imagine: a small business could solve the same problem with a combination of CRM automation, call-center software, messaging tools, marketing automation, or manual outsourced sales support, depending on budget and workflow complexity. The opportunity is real, but the market boundary is porous.
The regulatory and macro picture is supportive, though not frictionless. Expansion across the United States and Latin America gives Dapta access to a large base of Spanish-speaking and bilingual operators, which several public profiles suggest was part of its early wedge [ENTER.CO, April 2024] [Citybiz, October 2026]. At the same time, any company deploying AI voice and text agents into lead handling will operate near privacy, consent, and communications rules that vary by market and use case. The cited sources do not document Dapta's compliance posture in detail, so investors should read the macro tailwind as adoption-driven rather than regulation-driven.
| Cited market proxy | What it suggests for Dapta | Source |
|---|---|---|
| More than 1,500 customers, including 85 paying customers, by April 2024 | Early evidence that SMB workflow automation can attract broad top-of-funnel usage, though monetization was still narrow at that point | [ENTER.CO, April 2024] |
| Over 27,000 businesses adopted by February 2026 | Indicates a much larger reported footprint if definitions are consistent, but the figure is company-linked and not reconciled with earlier customer counts | [Emerge Americas, February 2026] |
| Over 1,500 companies across 37 countries | Suggests cross-border demand for the platform's automation use cases | [Refresh Miami] [Contxto] |
| Over 500 companies in financial services and retail | Points to vertical demand in process-heavy categories where integrations matter | [Nerdisa] |
The table does not size the market in dollar terms, but it does show why the segment attracts capital: the reported user and customer counts, even with source-quality caveats, suggest broad interest in AI-assisted sales and workflow automation among smaller operators. The caution is that adoption, paying conversion, and durable software spend are different things, and the public record does not yet reconcile them.
Claim stands unchecked -- This section relies partly on named-publisher coverage for product evolution and expansion focus, but the available market evidence is largely company-linked usage reporting rather than independently verified third-party market sizing.
Competition and Substitutes
MIXED Dapta appears to sit at the intersection of three crowded lanes, workflow automation for SMBs, conversational AI agents, and industry-specific software integrations, but the public record is still thinner on named direct rivals than on the company’s own product repositioning [Dapta AI, retrieved] [Refresh Miami, October 2026].
The segment map is clearer than the head-to-head roster. Dapta began as a low-code, AI-assisted API integration product with early relevance for financial services, e-commerce, and healthcare users [Refresh Miami, December 2023] [LatAmList, December 2023]. By 2026, public materials describe it instead as an AI sales-agent platform for small and medium-sized businesses, with voice and text agents aimed at faster inbound lead conversion and broader sales workflow automation [Dapta AI, retrieved] [Citybiz, October 2026]. That leaves Dapta competing, in practical terms, against three types of alternative rather than one confirmed named peer set: incumbent SMB systems of record such as CRMs and vertical software that already capture leads, newer AI-native sales and customer-contact tools that can sit on top of those systems, and adjacent substitutes such as agencies, call centers, or manual inside-sales teams that many Main Street businesses still use in place of software [Dapta AI, retrieved] [Refresh Miami, October 2026]. The available reporting supports the category overlap, but not a verified ranked list of direct company rivals.
Where Dapta has an edge today, the evidence points less to proprietary model infrastructure and more to packaging and market focus. Public coverage consistently frames the company around nontechnical SMB operators in the United States and Latin America, with a particular early wedge among Spanish-speaking business owners, and with a product story centered on usability rather than internal engineering depth [ENTER.CO, April 2024] [Citybiz, October 2026] [Dapta Docs, retrieved]. That can matter in this segment. Many SMB buyers do not want to assemble separate telephony, workflow, CRM, and AI layers, and Dapta’s progression from API tooling into all-in-one automation suggests management is chasing that simplification directly [Refresh Miami, December 2023] [Dapta AI, retrieved]. The durability of that edge is still uncertain, though. Ease of use and bilingual go-to-market can be meaningful distribution advantages, but they are usually perishable unless reinforced by retained customer data, strong channel partnerships, or a sticky systems-of-record position, none of which is extensively documented in the public sources here [Dapta AI, retrieved] [Refresh Miami, October 2026].
The company is most exposed wherever the buyer already has a trusted software stack or a distribution relationship that Dapta does not own. The public record shows integrations and API work as part of Dapta’s lineage, including a reported 500 company integrations figure in late 2023, but it does not establish that Dapta controls the underlying customer record, communications infrastructure, or a proprietary channel into SMB acquisition at scale [LatAmList, December 2023]. That creates a familiar risk. If incumbent CRM vendors, vertical SaaS platforms, or communications platforms embed comparable AI voice and text workflows into products customers already pay for, Dapta may be forced to win on service, implementation speed, or price rather than on structural lock-in. The same issue applies at the upper end of the market, where its current SMB positioning may not translate cleanly into more regulated or more complex enterprise deployments, even though early coverage cited work across financial services, e-commerce, and healthcare [Refresh Miami, December 2023] [Forbes Colombia, March 2024].
The most plausible 18-month scenario is not a winner-take-all outcome, but a sorting process by distribution. If Dapta converts its 2026 seed financing into repeatable acquisition among Spanish-speaking SMBs across the U.S. and Latin America, the likely winner is Dapta itself within that narrow operating lane, because the public narrative already aligns product, geography, and buyer simplicity around that use case [Refresh Miami, October 2026] [Citybiz, October 2026]. If, instead, SMB buyers treat AI sales agents as a feature rather than a standalone budget line, the more likely losers are independent agent-layer vendors broadly, including Dapta, because incumbents with existing customer relationships can absorb the functionality into larger suites faster than newer entrants can build category ownership. The evidence base does not yet support naming one confirmed direct rival as the reference threat, but it does support the underlying competitive logic: Dapta’s near-term contest is against bundle economics and incumbent distribution more than against a single disclosed startup peer [Dapta AI, retrieved] [ENTER.CO, April 2024] [Refresh Miami, October 2026].
Opportunity
PUBLIC
The prize here is larger than a point solution for lead response: if Dapta executes on its current path, it could become the operating layer that small businesses use to capture, qualify, and convert inbound demand across voice, text, and back-office workflows in the U.S. and Latin America [Dapta AI, retrieved] [Refresh Miami, October 2026] [Citybiz, October 2026].
The headline opportunity rests on a shift that is already visible in the record. Dapta did not start as a pure sales bot company. Earlier coverage described a low-code, AI-assisted API integration product serving sectors such as financial services, e-commerce, and healthcare [Refresh Miami, December 2023] [LatAmList, December 2023]. By October 2026, public coverage had reframed the business around AI voice and text agents for SMB sales automation, with explicit emphasis on nontechnical operators and Main Street businesses [Refresh Miami, October 2026] [Citybiz, October 2026] [Dapta AI, retrieved]. That matters because the larger outcome is not simply software revenue from one workflow, but ownership of a broader automation surface: if Dapta can sit at the front end of customer conversations and at the system layer through integrations, it has a credible path to becoming the default automation stack for a fragmented SMB base that is historically under-served by enterprise-grade software vendors [Dapta AI, retrieved 2026] [Refresh Miami, December 2023].
The evidence does not prove that outcome, but it does make it reachable. The company has shown product plasticity, moving from integrations into revenue-facing automation, and it has continued to attract investors across both early Latin American venture networks and a U.S.-led seed syndicate, culminating in a $6 million seed led by Chingona Ventures in October 2026 [ENTER.CO, April 2024] [Refresh Miami, October 2026] [Citybiz, October 2026]. Public traction claims are uneven and should be treated cautiously, but even the lower-end figures, more than 1,500 customers with 85 paying customers in April 2024, suggest there was real usage before the current AI-agent positioning was fully formed [ENTER.CO, April 2024]. If management has improved conversion from broad usage into paid automation over the subsequent period, the company could graduate from tool vendor to system of record for SMB demand capture.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Spanish-first SMB standard | Dapta becomes the default AI lead-response layer for Spanish-speaking SMBs in the U.S. and Latin America, then expands into adjacent workflows like follow-up, scheduling, and CRM updates | The October 2026 seed funds U.S. and Latin American expansion and broader AI-sales-agent capabilities [Refresh Miami, October 2026] [Citybiz, October 2026] | The company has already been positioned around SMB sales automation and cross-border expansion, and earlier reporting tied its wedge to nontechnical operators entering the U.S. market from a Latin American base [ENTER.CO, April 2024] [Refresh Miami, October 2026] |
| From agent to workflow hub | Dapta uses its integration roots to evolve from front-end voice and text agents into an all-in-one workflow layer tied to ERP, inventory, sales, and shipping data | Product expansion that deepens ERP and commerce integrations for SMB operators [Dapta AI, retrieved 2026] | Earlier coverage shows Dapta began in API integration, while current materials show ERP and workflow connectivity. That continuity makes a broader automation platform more plausible than a single-feature assistant [Refresh Miami, December 2023] [Dapta AI, retrieved 2026] |
| Main Street channel platform | Dapta becomes infrastructure that agencies, software resellers, or sector-specific operators deploy across many small merchants at once | A category-tipping distribution partnership or channel motion built on the company's stated all-in-one deployment model [Dapta Docs, retrieved] [Refresh Miami, October 2026] | Dapta markets ease of deployment and AI automation for teams without deep technical resources, which is the kind of packaging that can travel through channel partners if onboarding stays simple [Dapta AI, retrieved] [Dapta Docs, retrieved] |
These scenarios share the same underlying logic: the company does not need to win all SMB software. It needs to own the first few minutes after a lead arrives, then attach adjacent actions that reduce labor and raise conversion. That is a narrower claim, and a more credible one, than broad AI-platform rhetoric.
Compounding, if it appears, would likely come from three linked loops. First, every customer interaction handled through voice or text gives Dapta more implementation knowledge about routing, objections, language patterns, and workflow handoffs in SMB environments [Dapta AI, retrieved] [Dapta Docs, retrieved]. Second, the more integrations Dapta supports, the harder it becomes to replace the system without disrupting sales, inventory, shipping, or customer follow-up processes, especially in commerce-heavy SMB settings [Dapta AI, retrieved 2026] [Refresh Miami, December 2023]. Third, a large long-tail customer base can improve distribution efficiency if referenceability and templated deployments lower onboarding costs over time. Public sources only partially support that flywheel today, but they do show early signs of breadth: 500 company integrations were reported by December 2023, and later sources described service across more than 1,500 companies in 37 countries, though those figures come from company-linked or lightly corroborated material and should be read as directional rather than definitive [LatAmList, December 2023] [Refresh Miami, retrieved 2026] [Contxto, retrieved 2026].
The size of the win is best framed as a scenario, not a forecast. There is no cited public market comparable or third-party TAM study in the provided source set that would support a clean valuation bridge. Still, the funding history and product evolution support a concrete upside case: if Dapta becomes the default AI sales and workflow layer for a meaningful share of Spanish-speaking SMBs across the Americas, it could grow into a strategic platform worth several hundred million dollars or more in an acquisition or late-stage private context (scenario, not a forecast), particularly because the asset would combine customer communication, workflow automation, and systems integration rather than a standalone chatbot [Refresh Miami, October 2026] [Citybiz, October 2026] [Refresh Miami, December 2023]. The ambition here is not that Dapta becomes a general-purpose AI winner. It is that it becomes unusually important software for a large, fragmented customer class that tends to reward products which save labor, answer leads instantly, and work across messy operating systems.
Claim stands unchecked -- This section relies materially on company-linked product claims and company-reported traction figures, with partial corroboration from Refresh Miami, Citybiz, ENTER.CO, and LatAmList.
Sources
Open sources
[Refresh Miami, October 2026] Dapta raises $6M to give Main Street businesses an AI advantage | https://refreshmiami.com/news/dapta-raises-6m-to-give-main-street-businesses-an-ai-advantage/
[Citybiz, October 2026] Dapta Raises $6M Seed Round Led by Chingona Ventures to Expand AI Sales Agents | https://www.citybiz.co/article/917547/dapta-raises-6m-seed-round-led-by-chingona-ventures-to-expand-ai-sales-agents/
[Refresh Miami, December 2023] From teen freelancer to tech innovator: Nicolas Rojas’s journey to rework API development with Dapta | https://refreshmiami.com/news/from-teen-freelancer-to-tech-innovator-nicolas-rojass-journey-to-rework-api-development-with-dapta/
[LatAmList, December 2023] Startup Funding | https://latamlist.com/dapta-secures-1m-for-us-expansion/amp/
[Dapta AI, retrieved] Dapta AI | AI Voice & Text Agents for SMB Sales Automation | https://dapta.ai/
[Forbes Colombia, March 2024] Dapta, la plataforma que facilita la integración de APIs e… | https://forbes.co/emprendedores/dapta
[Inspiring Women: Aleja Henao Espitia, retrieved 2026] Inspiring Women: Aleja Henao Espitia | https://community.startuptalky.com/job-listing/post/we-re-hiring-EoJRFC5U40RaPK5
[ENTER.CO, April 2024] Dapta, la startup colombiana recibe 1.2 millones de dólares para potencializar sus soluciones de IA | https://www.enter.co/startups/dapta-la-startup-colombiana-recibe-1-2-millones-de-dolares-para-potencializar-sus-soluciones-de-ia/
[Emerge Americas, February 2026] Nicolás Rojas | https://emergeamericas.com/conference-expo/speakers/nicolas-rojas/
[Crunchbase, retrieved] Dapta - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/dapta
[Dapta AI, retrieved 2026] Dapta AI | AI Voice & Text Agents for SMB Sales Automation | https://dapta.ai/
[Refresh Miami] Dapta raises $6M to give Main Street businesses an AI advantage | https://refreshmiami.com/news/dapta-raises-6m-to-give-main-street-businesses-an-ai-advantage/
[Contxto, retrieved 2026] Dapta's Nico Rojas: AI for SMBs in the Spotlight | https://contxto.com/en/colombia/daptas-nico-rojas-ai-for-smbs-in-the-spotlight/
[Dapta Docs, retrieved] Dapta Docs | https://docs.dapta.ai/
[Nerdisa, retrieved 2026] Dapta | https://www.nerdisa.com/tools/dapta
[ENTER.CO, April 2024] Dapta, la startup colombiana de inteligencia artificial que llega a EE.UU. para expandirse | https://www.enter.co/startups/dapta-la-startup-colombiana-de-inteligencia-artificial-que-llega-a-ee-uu-para-expandirse/
Articles about Dapta
- With $7.4 Million, Dapta Builds a Spanish-Speaking AI for SMB Sales — The Miami startup, founded by a Colombian teen freelancer, has raised $7.4 million to automate lead response for small businesses, starting with Spanish-speaking operators.