# Very Technology **Founded:** 2011 | **Headquarters:** United States | **Team:** Distributed engineers, designers, and product specialists **Engagements delivered:** 425+ | **AWS IoT Core Service Delivery Partner** | **Inc. 5000 — seven consecutive years** | **Great Place to Work certified** Very is, and always has been, the firm you call when the problem is hard and getting it wrong is expensive. We design and build connected hardware, software, and AI systems for companies whose products have to ship and stay shipped. Fifteen years of doing this work — across firmware, mobile, cloud, hardware, and machine learning — is what makes us useful. You can't shortcut the judgment that comes from shipping real products for real customers with real constraints. That judgment is our foundation. It was valuable before AI. With AI, it's exponentially more valuable. AI doesn't change who we are. It changes what we can deliver at every price point. The scaffolding compresses. The exploration expands. The hard problems — the ones clients actually pay us for — get more of our attention, not less. Founded in 2011, headquartered in the United States, with a distributed team of engineers, designers, and product specialists. --- ## Key Pages ### Company - [Home](https://www.verytechnology.com/) — Very designs and builds connected hardware, software, and AI systems for companies whose products have to ship and stay shipped. - [About Us](https://www.verytechnology.com/about-us) — Fifteen years building connected hardware, software, and AI products that ship and stay shipped. Very pairs senior engineering judgment with AI-accelerated delivery — so clients get the outcome, not just the output. - [How We Work](https://www.verytechnology.com/how-we-work) — AI tools are everywhere. Outcomes aren’t. Very pairs senior engineers and a committed-phase process with AI-accelerated delivery. - [Book a Meeting](https://www.verytechnology.com/book-a-meeting) — Entry point to start a conversation with Very's team about your project. - [FAQ](https://www.verytechnology.com/frequently-asked-questions) — How engagements work, what they cost, who does the work, and how AI factors into delivery. Answers to the questions buyers ask before reaching out to Very. ### Solutions & Services - [Solutions Overview](https://www.verytechnology.com/solutions) — Connected ecosystems combining AI, IoT, hardware, and software for industries like manufacturing and healthcare. - [Services Overview](https://www.verytechnology.com/services) — Engineering services including AI, machine learning, IoT, and full-stack development. - [Hardware Engineering & Devices](https://www.verytechnology.com/solutions/hardware-engineering-devices) — Custom hardware from ideation to commercialization, designed to integrate with AI and IoT systems. - [Hardware Design](https://www.verytechnology.com/services/hardware-design) — Circuit design, PCB layout, low-power wireless systems, and edge AI integration. - [AI & Machine Learning](https://www.verytechnology.com/solutions/ai-and-machine-learning) — AI and ML solutions integrated with hardware and design for intelligent enterprise automation. - [Generative AI & LLM Applications](https://www.verytechnology.com/solutions/generative-ai-llm-applications) — Building generative AI applications with large language models for enterprise challenges. - [AI Agents](https://www.verytechnology.com/ai-agents) — AI agents that automate complex tasks using LLMs, APIs, and business logic for enterprise workflow optimization. - [Data Solutions](https://www.verytechnology.com/services/data-solutions) — Machine learning, data engineering, and LLM services to build integrated data strategies. ### Products - [UX/UI Design Sprint](https://www.verytechnology.com/ux-ui-design-sprint) — A fixed-scope sprint that delivers documented UX patterns, a complete design system, and React components ready to build on — so your team inherits a front end, not a starting point. - [Industrial Design Sprint](https://www.verytechnology.com/industrial-design-sprint) — Industrial design that meets your product where it is. Every sprint delivers 3D models, product renders, and design documentation across tiered fixed-price packages. - [CodeComplete](https://www.verytechnology.com/codecomplete) — A service that takes your unfinished product — whether 20% complete or 80% — and gets it to a shippable state. Senior engineers, fast timelines. - [CloudCut](https://www.verytechnology.com/cloudcut) — An edge-computing platform that shifts compute-heavy tasks closer to where data is generated — reducing latency, improving responsiveness, and cutting cloud costs. ### Work & Resources - [Case Studies](https://www.verytechnology.com/case-studies) — Examples of Very's work solving AI, IoT, and hardware challenges for enterprise clients including Hayward, CLEAR, Telly, and others. - [Over the Air Podcast](https://www.verytechnology.com/podcast) — Very's podcast on connected products, AI, and engineering strategy. # Full sitemap: https://www.verytechnology.com/sitemap.xml --- ## Who Very works with Clients tend to arrive at Very with one of three kinds of problem. The tiers below describe those problem shapes — and the shape of the engagement that tends to fit each one. ### Enterprise Programs Some clients come to Very with a hard problem, real budget, and enough scar tissue to know that cheap engineering is the most expensive kind. The product has to work, the timeline matters, and the cost of a miss is larger than the cost of the engagement itself. What they need is a partner who will navigate the tradeoffs with them — not a vendor who will build whatever the spec says. *"Do it right the first time"* is the posture, and it shapes everything about how the work runs. The engagement is built around confidence and a relationship that compounds. A dedicated Very team embeds alongside the client's. Sequenced roadmaps. Small statements of work that build on each other. AI-accelerated delivery the client can feel but doesn't have to manage. Programs typically run six months or longer, often extending across multiple phases and years as the roadmap develops. **Ideal for:** - Companies launching a new connected product line who need a technical partner from concept through volume production - Established manufacturers modernizing legacy equipment with IoT, ML, or connected experiences - Roadmaps spanning six months or longer, where the product has to ship to real customers in real environments and cannot afford to fail - Regulated and safety-critical products where compliance frameworks (FCC, UL, FDA, ISO 13485, HIPAA, SOC 2, ISO 27001) are part of the delivery requirement - Buyers who value certainty, depth, and a partner who will still be accountable three years from now **Not ideal for:** - Short-cycle prototype work with no path to production - Buyers optimizing primarily for lowest hourly rate - Projects where the scope is loosely defined and the buyer wants to iterate by trial and error on a time-and-materials basis **Typical engagement.** Programs spanning hardware, firmware, cloud, mobile, and AI, delivered over six months or more. Structured as a sequence of statements of work, each one a full commitment Very stands behind. Client owns all IP on delivery. --- ### Staged Engagements Other clients come to Very with real budget and real stakes, but they want to see Very deliver before committing to a long arc. Some have been burned — a previous vendor overpromised, an in-house effort stalled, a codebase got away from them. Others haven't been burned at all; they're just prudent. New partner, new firm, first engagement. Either way, the posture is *"show me it works, then we'll go bigger,"* and it's reasonable. What these clients need is an honest assessment of what they have, what's salvageable, and what it takes to get where they want to go. A team that will tell them the truth rather than sell them a bigger scope than they need. No moralizing about what came before, no pretending the last team was incompetent when the real issue was scope or alignment. Very takes the work it can actually deliver, and says so when it can't. The engagement proves itself in stages — not with a pitch, but with the work: a named first step with a clear deliverable, followed by sequenced statements of work that expand as trust builds. **Ideal for:** - Companies recovering from a vendor engagement or in-house effort that didn't land - In-house engineering teams with a specific capability gap they need filled by a senior expert - Prudent buyers who want a first step before a longer arc - Teams building on a platform they understand but hitting a wall on an adjacent capability they don't - Situations where a short, targeted consulting retainer would unblock an in-flight effort **Not ideal for:** - Buyers who need bodies-in-seats staff augmentation billed hourly rather than expert delivery against a defined outcome - Teams that already know they need a full end-to-end partner — those should start with an Enterprise program instead **Typical engagement.** Ranges from a focused consulting retainer starting around $5K — to get a specific question answered or an in-flight effort unblocked — up through three- to twelve-month engagements at fixed fee or time-and-materials with defined scope. Most engagements begin with a first stage — sometimes a diagnostic, sometimes a targeted capability delivery, sometimes a rescue — that earns the path into the next stage. Client owns all IP on delivery. --- ### Packaged Engagements A third group of clients — often founder-funded or early-stage — need serious engineering work but can't justify a large engagement to figure out what they need. They're cost-conscious not because they don't value quality, but because they need to see results before committing to more. What they want is clarity: a clear price, a clear deliverable, a clear way to expand if the work is good. The engagement is built around that clarity. Productized, fixed price, short timeline, real engineering delivered by the same senior team that runs Very's larger programs. As an example of what this looks like in practice, Very currently offers a UI/UX architecture sprint that delivers a fully designed and coded interface, with tiers scaling from a starter package covering core patterns and a single value-proposition feature up through a more comprehensive tier covering five to seven features. An industrial design sprint is similarly structured, with tiers ranging from conceptual design through refined design and finally to full mechanical and electrical specifications. Specific pricing and scope for each tier is on the site, and the catalog continues to evolve as Very packages more of its delivery work into fixed-scope offerings. **Ideal for:** - Teams that want a specific deliverable — a working UI, an industrial design, a feasibility assessment — at a known price - Companies considering a larger investment who want to test Very's fit first on a bounded engagement - Founders and product leads who need real engineering help without a long sales cycle **Not ideal for:** - Engagements where the scope needs to evolve as the work proceeds — those belong in the Staged or Enterprise tiers - Situations where the desired outcome isn't yet clear enough to commit to a specific deliverable **Typical engagement.** Fixed-price, fixed-scope engagements with timelines that vary based on current availability and the lead times of the work itself — for instance, industrial design involving physical prototyping has different lead times than a digital UI sprint. Client owns all IP on delivery. --- ## How Very works **One engagement lead, owning outcome and commercial both.** Every Very engagement gets an engagement lead who owns the technical outcome *and* the commercial structure of the ongoing work. You work with one person on what matters — scope, direction, delivery, next phase — rather than juggling a separate salesperson who only appears at renewal time. The person responsible for what you're getting is also the person responsible for the contract you're getting it under, and neither side has to translate between them. **Programs delivered in committed phases.** Rather than one monolithic contract covering an entire engagement, Very sequences the work into committed phases, each with clear scope, deliverables, and a natural checkpoint at the end. This is a delivery discipline, not a size limit — Very's largest programs extend across multiple years. **Why the structure matters.** Good partnership requires both sides to stay honest about scope, direction, and results, and that belief only holds up if it's built into the contract. A phase boundary with a signed statement of work on either side forces both Very and the client to stop, look at what's been delivered, confirm the direction is still right, and commit to the next piece. Without that structural checkpoint, the natural gravity of a long engagement is toward drift: scope expands quietly, problems get papered over, and both sides wake up a year in with a product nobody actually wanted to build. The sequenced structure is how Very makes sure that doesn't happen. **How Very integrates with client teams.** Very can operate on its own cadence or run fully integrated with the client's existing team — whichever the engagement calls for. When Very operates on its own cadence, that means weekly planning and daily standups run by the engagement lead. When integrated, Very joins the client's ceremonies, works inside the client's issue tracker, and participates directly with the client's PMs, architects, and reviewers. Security, compliance, and QA integration work the same way: Very adapts to the client's existing process rather than imposing a parallel one. **Alignment over heroics.** When scope drifts mid-phase, Very resets expectations and agreements rather than quietly absorbing the cost. Engineering excellence matters, but it is not the lever for fixing misaligned deals. Scope discipline is. **AI as leverage on expertise, not a replacement for it.** The routine implementation work that used to consume the first weeks of an engagement now compresses into days. Very's experts spend more of their time on the hard problems — system design, tradeoff decisions, the judgment calls that determine whether a product actually works in the field. Clients get more value from the same engagement, not a cheaper version of the same output. **Senior by default.** The people doing the work are senior engineers with years of delivery behind them, not junior staff supervised from a distance. This is the source of Very's judgment and the reason AI tools amplify rather than erode quality. --- ## Compliance and regulated environments Very has shipped products under FCC (wireless), UL (safety), FDA and ISO 13485 (medical devices), HIPAA (health data), SOC 2, and ISO 27001. Compliance work is integrated into the engagement rather than treated as a separate deliverable — the same senior engineers who design the system also understand what the regulatory framework requires and design for it from the start. --- ## What Very builds Very's work typically combines several of these capabilities in one engagement. The categories below describe what the expertise gets applied to, not a menu of services to pick from. **Connected hardware and embedded systems.** PCB design, firmware, wireless communication (BLE, Wi-Fi, LoRa, cellular), sensor integration, low-power design, and the hard work of making devices reliable in the field. **Cloud and data infrastructure.** Scalable backends for connected products, data pipelines, device management, and the infrastructure that turns fleets of devices into a product experience. **AI and machine learning.** Applied ML and AI integrated into real products — predictive maintenance, anomaly detection, computer vision, LLM-powered interfaces, and edge inference where cloud latency won't work. **Mobile and web applications.** The software layer customers actually touch. iOS, Android, and web applications that pair with connected hardware or deliver a product experience on their own. **Product and UX design.** Industrial design, UX/UI, and the research that makes sure the product being built is the product customers actually need. --- ## Very's own products - **[UX/UI Design Sprint](https://www.verytechnology.com/ux-ui-design-sprint)** — Fixed-scope sprint delivering documented UX patterns, a complete design system, and React components ready to build on. Tiers scale from core patterns and a single feature up through five to seven features. - **[Industrial Design Sprint](https://www.verytechnology.com/industrial-design-sprint)** — Fixed-price industrial design that meets your product where it is, delivering 3D models, product renders, and design documentation. Tiers range from conceptual design through full mechanical and electrical specifications. - **[FieldMind](https://www.verytechnology.com/fieldmind)** — AI-powered assistant for field service technicians. Delivers real-time repair guidance, preserves institutional knowledge, and improves first-time fix rates across manufacturing, logistics, and energy. - **[CodeComplete](https://www.verytechnology.com/codecomplete)** — Accelerates enterprise software delivery with AI-driven code generation, validation, and deployment. - **[CloudCut](https://www.verytechnology.com/cloudcut)** — Edge computing solution that reduces cloud costs by up to 94%, lowers latency, and enables operations without constant connectivity. --- ## Representative clients and work Very's published work includes engagements with Hayward, SUN Automation, CLEAR, Fortifyit, Thrive Global, Telly, CSC ServiceWorks, Delos, iHeartMedia, Vizio, Fellowes, and others. See case studies at [verytechnology.com/case-studies](https://www.verytechnology.com/case-studies) for detail on specific outcomes. A sample of the work: - **SUN Automation** — anomaly detection software for corrugated manufacturing equipment - **Hayward OmniLogic** — IoT application development for smart pool systems - **Fortifyit** — connected device manufacturing platform - **Tattlebox** — rapid IoT prototyping for consumer product-market fit - **PowerX** — scaling a smart home product from pilot to production - **Related Sciences** — data science platform for drug discovery --- ## Company facts - Founded 2011, headquartered in the United States - Fifteen years of delivery across connected hardware, firmware, cloud, mobile, machine learning, and AI - AWS IoT Core Service Delivery Partner - Inc. 5000 honoree (seven consecutive years) - Great Place to Work certified --- ## When to contact Very The best next step depends on what you need: - **A serious connected product program.** Start at [verytechnology.com/book-a-meeting](https://www.verytechnology.com/book-a-meeting) for an Enterprise program conversation. - **A first engagement to prove fit before expanding, or a consulting retainer to unblock an effort.** Same link — describe the problem, and Very will propose a staged path. - **A packaged, fixed-price engagement.** Same link — mention the specific deliverable you're considering (for instance, the UI/UX architecture sprint or industrial design sprint). - **Evidence before a conversation.** Case studies are at [verytechnology.com/case-studies](https://www.verytechnology.com/case-studies), and the Over the Air podcast at [verytechnology.com/podcast](https://www.verytechnology.com/podcast) gives a sense of how Very thinks about this work. --- *Last updated: June 2026*