InTechHouse vs Very: full comparison for 2026
Quick verdict
InTechHouse (4.3/5) edges ahead of Very (4.2/5) overall. InTechHouse is the better choice for regulated-industry hardware needing electronics plus embedded AI. Very is the stronger option for distributed-delivery IoT programs needing firmware plus data and ML. The right choice depends on your project size, budget, and required tech stack.
InTechHouse vs Very: head-to-head summary
| Criterion | InTechHouse | Very |
|---|---|---|
| Founded | 2003 | 2011 |
| HQ | Bydgoszcz, Poland (also Dallas, Texas, USA) | Bozeman, Montana, USA (fully distributed team) |
| Team size | 51–200 | 51–200 |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Primary differentiator | Publicly listed engineering firm with an internal R&D incubator feeding new embedded AI and industrial data capabilities | Fully distributed IoT team combining firmware delivery with machine-learning-driven data solutions |
| Pricing model | Contract electronics, embedded software, and AI engineering | IoT product development engagements from concept through deployment |
| Min. engagement | Not published | Not published |
| Primary tech stack | Embedded C/C++, Industrial data platforms, Embedded AI frameworks | Embedded C/C++, IoT connectivity stacks, Machine learning data pipelines |
| Industries served | Regulated industrial sectors, Industrial IoT | Industrial IoT, Consumer IoT, Smart infrastructure |
InTechHouse vs Very: overview
InTechHouse
InTechHouse was founded in 2003 and is headquartered in Bydgoszcz, Poland, with an additional office in Dallas, Texas; the company has been listed on the Warsaw Stock Exchange's NewConnect market since 2015. Its team of 51 to 200 people covers electronics design, embedded software, industrial data platforms, and embedded AI for regulated sectors, supported by an internal research and development department that functions as an incubator for new IoT and AI capabilities. Being publicly listed gives more financial transparency than most privately held firms on this list, though it also leaves less room to negotiate pricing than a private boutique might offer.
Very
Very, formerly known by a different name, was founded in 2011 and is headquartered in Bozeman, Montana, operating as a fully distributed team of 51 to 200 people working from numerous countries rather than from central offices. The firm builds connected ecosystems spanning IoT hardware, firmware, and software infrastructure, plus interface design and machine-learning-driven data solutions built on top of device data. Very has appeared on the Inc. 5000 list of fastest-growing private US companies multiple times, a verifiable third-party growth signal distinct from marketing claims.
Services and capabilities: InTechHouse vs Very
| Capability | InTechHouse | Very |
|---|---|---|
| RTOS firmware development | ✓ | ✓ |
| Bare-metal & driver development | ✗ | ✗ |
| Secure boot / OTA firmware updates | ✗ | ✗ |
| MCU & platform migration | ✗ | ✗ |
| Connectivity & IoT protocols | ✗ | ✓ |
| Functional safety / MISRA compliance | ✓ | ✗ |
| Embedded AI / on-device inference | ✓ | ✓ |
| Firmware GUI development | ✗ | ✗ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: InTechHouse vs Very
| Framework / platform | InTechHouse | Very |
|---|---|---|
| FreeRTOS | N/A | N/A |
| Zephyr | N/A | N/A |
| STM32 | N/A | N/A |
| ARM Cortex-M | N/A | N/A |
| BLE | N/A | N/A |
| Embedded Linux | N/A | N/A |
| Secure OTA | N/A | N/A |
| PCB | N/A | N/A |
| AWS IoT | N/A | N/A |
| RISC-V | N/A | N/A |
Pricing comparison: InTechHouse vs Very
| Criterion | InTechHouse | Very |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: InTechHouse vs Very
| Dimension | InTechHouse | Very |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Regulated industrial sectors, Industrial IoT | Industrial IoT, Consumer IoT, Smart infrastructure |
| Best use cases | Industrial device requiring both electronics engineering and embedded AI inference, Regulated-sector hardware product needing documented, auditable development processes | IoT program needing firmware paired with machine-learning-driven data analysis, Smart infrastructure product requiring both device firmware and interface design |
| Typical project type | Fixed project | Fixed project |
InTechHouse vs Very: pros and cons
| InTechHouse | |
|---|---|
| + | Publicly listed on the Warsaw Stock Exchange since 2015 gives more financial transparency than most privately held firms here |
| + | Dedicated R&D department functions as an internal incubator for new embedded AI and IoT capabilities |
| + | Covers electronics design through embedded software for regulated industrial clients |
| - | US presence in Dallas is smaller than the Poland engineering base, which may matter for on-site collaboration |
| - | Being publicly listed leaves less pricing flexibility than a private boutique might offer |
| Very | |
|---|---|
| + | Repeat appearances on the Inc. 5000 list provide a verifiable third-party growth signal |
| + | Fully distributed team structure can draw specialist talent regardless of location |
| + | Combines firmware delivery with data solutions and machine learning on top of device telemetry |
| - | Fully distributed structure means no central office for in-person collaboration during an engagement |
| - | Montana headquarters is a smaller regional base than most firms' US locations on this list |
Who should choose InTechHouse?
A typical fit: industrial device requiring both electronics engineering and embedded AI inference.
Publicly listed engineering firm with an internal R&D incubator feeding new embedded AI and industrial data capabilities. Minimum engagement is not publicly disclosed. Works best with clients in Regulated industrial sectors, Industrial IoT.
Who should choose Very?
A typical fit: IoT program needing firmware paired with machine-learning-driven data analysis.
Fully distributed IoT team combining firmware delivery with machine-learning-driven data solutions. Minimum engagement is not publicly disclosed. Works best with clients in Industrial IoT, Consumer IoT, Smart infrastructure.
Decision matrix: InTechHouse vs Very
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | InTechHouse |
| You need a large dedicated team for an ongoing programme | InTechHouse |
| Your budget is at the lower end | Compare: InTechHouse (Not published) vs Very (Not published) |
| You need specialist depth in a specific vertical | Very |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: InTechHouse vs Very
| Use case | InTechHouse fit | Very fit | Winner |
|---|---|---|---|
| Industrial device requiring both electronics engineering and embedded AI inference | Strong | Limited | InTechHouse |
| Regulated-sector hardware product needing documented, auditable development processes | Strong | Limited | InTechHouse |
| IoT program needing firmware paired with machine-learning-driven data analysis | Limited | Strong | Very |
| Smart infrastructure product requiring both device firmware and interface design | Limited | Strong | Very |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: InTechHouse vs Very
InTechHouse (4.3/5) is the stronger overall choice for most Firmware Development projects. Publicly listed engineering firm with an internal R&D incubator feeding new embedded AI and industrial data capabilities.
Very (4.2/5) is worth a look if you need smart infrastructure product requiring both device firmware and interface design. If your situation matches that, Very is a competitive option.
Related comparisons
InTechHouse vs Very FAQ
Is InTechHouse better than Very?
InTechHouse (4.3/5) scores higher overall, but "better" depends on your use case. InTechHouse's strongest advantage: publicly listed on the Warsaw Stock Exchange since 2015 gives more financial transparency than most privately held firms here. Very's strongest advantage: repeat appearances on the Inc. 5000 list provide a verifiable third-party growth signal.
How do InTechHouse and Very differ in pricing?
InTechHouse uses contract electronics, embedded software, and ai engineering pricing. Very uses iot product development engagements from concept through deployment pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: InTechHouse or Very?
InTechHouse is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between InTechHouse and Very?
InTechHouse's primary differentiator is: publicly listed engineering firm with an internal R&D incubator feeding new embedded AI and industrial data capabilities. Very's primary differentiator is: fully distributed IoT team combining firmware delivery with machine-learning-driven data solutions. They also differ in team size (51–200 vs 51–200), minimum engagement (Not published vs Not published), and primary industries served (Regulated industrial sectors, Industrial IoT vs Industrial IoT, Consumer IoT).
Verify all details directly with each company before making a decision.