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In Episode 195 of The Robotic Report Podcast, our visitor is Giovanni Campanella, the Industrial Automation and Robotics Basic Supervisor at Texas Devices (TI).

Present timeline

• 6:30 – Steve Crowe and Mike Oitzman recap the 2025 Robotics Summit and Expo reside from the Boston Conference Heart
• 13:20 – Mike interviews Giovanni Campanella, the Industrial Automation and Robotics Basic Supervisor at Texas Devices (TI).

Information of the week

Amazon’s Vulcan robotic makes use of power sensing to stow gadgets

• Amazon developed a brand new robotic known as Vulcan, designed to select gadgets from bulk and place them onto the movable cabinets.
• What makes Vulcan distinctive is that it’s geared up with power suggestions sensors and AI, giving it a way of contact.  This “sense of contact” permits Vulcan to govern objects with higher precision and dexterity. Based on Amazon, Vulcan can choose and stow roughly 75% of the gadgets in Amazon warehouses, transferring them at speeds corresponding to human employees.
• Aaron Parness, Director of Utilized Science at Amazon Robotics, was a keynote session final week with Steve Crowe, Government Editor of The Robotic Report, to debate the expertise behind Vulcan throughout a keynote throughout final week’s Robotics Summit and Expo in Boston. Parness defined the significance of contact and power sensing to the way forward for robotics at Amazon.
• Amazon presently has a variety of different robotic selecting purposes deployed. Sparrow is presently selecting from totes, nevertheless it solely picks from the highest layer of the totes. Sparrow has a whole lot of intelligence to establish the gadgets and plan the trajectories, nevertheless it (presently) doesn’t require a way of contact.
• Amazon has one other robotic known as Cardinal, designed to fill a cart with packages. The important thing for Cardinal is to get the cart as full as attainable. Parness believes Cardinal may gain advantage from a way of contact to assist it maximize the cart load sooner or later.
• IEEE Transactions on Robotics papers

Teradyne Robotics makes management modifications at MiR, UR

• Teradyne immediately introduced management modifications for each of its robotics divisions, efficient instantly. Jean-Pierre Hathout transitions from main Cell Industrial Robots (MiR) to changing Kim Povlsen because the president of Common Robots (UR). Kevin Dumas succeeds Hathout as the brand new president of MIR. Povlsen is pursuing an exterior profession alternative.
• This adjustment comes on the heels of current Teradyne fiscal 2024 monetary outcomes. UR, a number one developer of collaborative robotic arms, declined 3% yr over yr, and autonomous cellular robotic (AMR) developer MiR grew 1% yr over yr. Teradyne Robotics Group laid off 10% of its world employees in January 2024.

Robots Put in in US Auto Trade Up by Double Digits

• Preliminary outcomes revealed by the Worldwide Federation of Robotics this week
• Studies that Automakers in the US have invested in additional automation:
  • Whole installations of commercial robots within the automotive business elevated by 10.7%, reaching 13,700 items in 2024.
  • In contrast, the Affiliation for Advancing Automation (A3) reported earlier this yr that U.S. automotive gross sales dropped 15% in 2024 in comparison with 2023.
• “The USA has some of the automated automotive industries on this planet: The ratio of robots to manufacturing facility employees ranks fifth, tied with Japan and Germany and forward of China,” says Takayuki Ito, President of the Worldwide Federation of Robotics. “It is a nice achievement of modernization. Nonetheless, in different key areas of producing automation, the US lags behind its rivals.”
• The majority of commercial robots are imports from abroad, as few robotic producers are producing in the US.
• Globally, 70% of installations are produced by 4 international locations: Japan, China, Germany and South Korea.
  • Inside this group, Chinese language producers are probably the most dynamic, with manufacturing for his or her large home market greater than tripling in 5 years (2019-2023).
  • This places them in second place after Japan.
  • China´s success is predicated on their nationwide robotics technique.
  • China‘s manufacturing business put in a complete of about 280,000 items per yr between 2021 and 2023, in comparison with a complete of 34,300 installations in the US in 2024.

In China, robotics and automation are penetrating all ranges of manufacturing. That is evidenced by its excessive robotic density of 470 robots per 10,000 staff in manufacturing – the third highest on this planet, surpassing Germany and Japan in 2023. The USA, then again, ranks solely tenth among the many world’s most automated manufacturing international locations with a robotic density of 295 robots per 10,000 staff. The nation’s automation is closely concentrated within the automotive sector: Round 40% of all new industrial robotic installations in 2024 are in automotive.

Teradyne additionally final week introduced monetary outcomes for the primary quarter of 2025. Based on the corporate, its robotics income was $69 million in Q1 2025, which is down from $98 million in This fall 2024. This additionally marked a 21% drop in gross sales in Q1 yr over yr. In its quarterly report, Teradyne mentioned “robotics continues to face ongoing finish market weak spot however delivering on AI product portfolio (MiR 1200 Pallet Jack, UR AI Accelerator).”

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Embedded analytics refers to integrating interactive dashboards, experiences, and AI-driven knowledge insights straight into purposes or workflows. This method lets customers entry analytics in context with out switching to a separate BI device. It’s a quickly rising market – valued round $20 billion in 2024 and projected to succeed in $75 billion by 2032 (18% CAGR).

Organizations are embracing embedded analytics to empower end-users with real-time info. These traits are fueled by demand for self-service knowledge entry and AI options like pure language queries and automatic insights, which make analytics extra accessible.

Under we evaluate prime instruments that present AI-powered embedded analytics and reporting. Every device consists of an outline, key professionals and cons, and a breakdown of pricing tiers.

AI Instruments for Embedded Analytics and Reporting (Comparability Desk)

(Supply: Explo)

Explo is an embedded analytics platform designed for product and engineering groups to shortly add customer-facing dashboards and experiences to their apps. It affords a no-code interface for creating interactive charts and helps white-labeled embedding, so the analytics mix into your product’s UI.

Explo focuses on self-service: end-users can discover knowledge and even construct advert hoc experiences with no need developer intervention. A standout characteristic is Explo AI, a generative AI functionality that lets customers ask free-form questions and get again related charts mechanically.

This makes knowledge exploration as straightforward as typing a question in pure language. Explo integrates with many databases and is constructed to scale from startup use circumstances to enterprise deployments (it’s SOC II, GDPR, and HIPAA compliant for safety).

Pricing: (Month-to-month subscriptions – USD)

• Launch – Free: Inner BI use solely; limitless inside customers/dashboards.
• Progress – from $795/month: For embedding in apps; consists of 3 embedded dashboards, 25 buyer accounts.
• Professional – from $2,195/month: Superior embedding; limitless dashboards, full white-label, scales with utilization.
• Enterprise – Customized: Customized pricing for big scale deployments; consists of precedence assist, SSO, customized options.

Go to Explo →

ThoughtSpot is an AI-driven analytics platform famend for its search-based interface. With ThoughtSpot’s embedded analytics, customers can kind pure language queries (or use voice) to discover knowledge and immediately get visible solutions.

This makes analytics accessible to non-technical customers – basically a Google-like expertise for your enterprise knowledge. ThoughtSpot’s in-memory engine handles giant knowledge volumes, and its AI engine (SpotIQ) mechanically finds insights and anomalies.

For embedding, ThoughtSpot gives low-code elements and strong REST APIs/SDKs to combine interactive Liveboards (dashboards) and even simply the search bar into purposes. It’s widespread for customer-facing analytics in apps the place end-users want ad-hoc querying means.

Companies in retail, finance, and healthcare use ThoughtSpot to let frontline workers and prospects ask knowledge questions on the fly. The platform emphasizes ease-of-use and quick deployment, although it additionally affords enterprise options like row-level safety and scalability throughout cloud knowledge warehouses.

Pricing: (Tiered, with consumption-based licensing – USD)

• Necessities – $1,250/month (billed yearly): For bigger deployments; elevated knowledge capability and options.
• ThoughtSpot Professional: Customized quote. Full embedding capabilities for customer-facing apps (as much as ~500 million knowledge rows).
• ThoughtSpot Enterprise: Customized quote. Limitless knowledge scale and enterprise SLA. Consists of multi-tenant assist, superior safety, and many others.

Go to ThoughtSpot →

Tableau (a part of Salesforce) is a number one BI platform recognized for its highly effective visualization and dashboarding capabilities. Tableau Embedded Analytics permits organizations to combine Tableau’s interactive charts and experiences into their very own purposes or web sites.

Builders can embed Tableau dashboards through iFrames or utilizing the JavaScript API, enabling wealthy knowledge visuals and filtering in-app. Tableau’s energy lies in its breadth of out-of-the-box visuals, drag-and-drop ease for creating dashboards, and a big person group.

It additionally has launched AI options – for instance, in 2024 Salesforce introduced Tableau Pulse, which makes use of generative AI to ship automated insights and pure language summaries to customers. This augments embedded dashboards with proactive explanations.

Tableau works with a variety of knowledge sources and affords reside or in-memory knowledge connectivity, making certain that embedded content material can show up-to-date data. It’s well-suited for each inside embedded use (e.g. inside an enterprise portal) and exterior customer-facing analytics, although licensing price and infrastructure should be deliberate accordingly.

Pricing: (Subscription per person, with role-based tiers – USD)

• Creator – $70 per person/month: Full authoring license (knowledge prep, dashboard creation). Wanted for builders constructing embedded dashboards.
• Explorer – $35 per person/month: For customers who discover and edit restricted content material. Appropriate for inside energy customers interacting with embedded experiences.
• Viewer – $12 per person/month: Learn-only entry to view dashboards. For finish viewers of embedded analytics.

Go to Tableau →

Microsoft Energy BI is a widely-used BI suite, and Energy BI Embedded refers back to the Azure service and APIs that allow you to embed Energy BI visuals into customized purposes. That is engaging for builders constructing customer-facing analytics, because it combines Energy BI’s strong options (interactive experiences, AI visuals, pure language Q&A, and many others.) with versatile embedding choices.

You possibly can embed full experiences or particular person tiles, management them through REST API, and apply row-level safety for multi-tenant situations. Energy BI’s strengths embody tight integration with the Microsoft ecosystem (Azure, Workplace 365), robust knowledge modeling (through Energy BI Desktop), and rising AI capabilities (e.g. the Q&A visible that permits customers to ask questions in plain English).

Pricing: (Azure capacity-based or per-user – USD)

• Energy BI Professional – $14/person/month: Permits creating and sharing experiences. Required for builders and any inside customers of embedded content material.
• Energy BI Premium Per Person – $24/person/month: Enhanced options (AI, bigger datasets) on a per-user foundation. Helpful if a small variety of customers want premium capabilities as an alternative of a full capability.
• Energy BI Embedded (A SKUs) – From ~$735/month for A1 capability (3 GB RAM, 1 v-core). Scales as much as ~$23,500/month for A6 (100 GB, 32 cores) for high-end wants. Billed hourly through Azure, with scale-out choices.

Go to Energy BI →

Looker is a contemporary analytics platform now a part of Google Cloud. It’s recognized for its distinctive knowledge modeling layer, LookML, which lets knowledge groups outline enterprise metrics and logic centrally.

For embedded analytics, Looker gives a sturdy answer: you may embed interactive dashboards or exploratory knowledge tables in purposes, leveraging the identical Looker backend. Certainly one of Looker’s core strengths is consistency – due to LookML, all customers (and embedded views) use trusted knowledge definitions, avoiding mismatched metrics.

Looker additionally excels at integrations: it connects natively to cloud databases (BigQuery, Snowflake, and many others.), and since it’s within the Google ecosystem, it integrates with Google Cloud companies (permissions, AI/ML through BigQuery, and many others.).

Pricing: (Customized quotes through gross sales; instance figures)

Go to Looker →

Sisense is a full-stack BI and analytics platform with a powerful deal with embedded analytics use circumstances. It allows firms to infuse analytics into their merchandise through versatile APIs or net elements, and even permits constructing customized analytic apps.

Sisense is thought for its ElastiCube in-chip reminiscence know-how, which might mash up knowledge from a number of sources and ship quick efficiency for dashboards. Lately, Sisense has integrated AI options (e.g. NLQ, automated insights) to remain aggressive.

A key benefit of Sisense is its means to be absolutely white-labeled and its OEM-friendly licensing, which is why many SaaS suppliers select it to energy their in-app analytics. It affords each cloud and on-premises deployment choices, catering to completely different safety necessities.

Sisense additionally gives a variety of customization choices: you may embed whole dashboards or particular person widgets, and use their JavaScript library to deeply customise feel and appear. It’s fitted to organizations that want an end-to-end answer – from knowledge preparation to visualization – particularly tailor-made for embedding in exterior purposes.

Pricing: (Annual license, quote-based – USD)

• Starter (Self-Hosted) – Begins round $10,000/yr for a small deployment (few customers, fundamental options). This is able to usually be an on-prem license for inside BI or restricted OEM use.
• Cloud (SaaS) Starter – ~$21,000/yr for ~5 customers on Sisense Cloud (cloud internet hosting carries ~2× premium over self-host).
• Progress/Enterprise OEM – Prices scale considerably with utilization; mid-range deployments usually vary $50K-$100K+ per yr. Massive enterprise offers can attain a number of hundred thousand or extra if there are very excessive numbers of end-users.

Go to Sisense →

Qlik is a long-time chief in BI, providing Qlik Sense as its trendy analytics platform. Qlik’s embedded analytics capabilities permit you to combine its associative knowledge engine and wealthy visuals into different purposes.

Qlik’s differentiator is its Associative Engine: customers can freely discover knowledge associations (making alternatives throughout any fields) and the engine immediately updates all charts to replicate these alternatives, revealing hidden insights.

In an embedded situation, this implies end-users can get highly effective interactive exploration, not simply static filtered views. Qlik gives APIs (Functionality API, Nebula.js library, and many others.) to embed charts and even construct absolutely customized analytics experiences on prime of its engine. It additionally helps commonplace embed through iframes or mashups.

Qlik has integrated AI as effectively – the Perception Advisor can generate insights or chart ideas mechanically. For builders, Qlik’s platform is kind of strong: you may script knowledge transformations in its load script, use its safety guidelines for multi-tenant setups, and even embed Qlik into cellular apps.

Pricing: (USD)

• Starter – $200 / month (billed yearly): Consists of 10 customers + 25 GB “knowledge for evaluation.” No further knowledge add-ons out there.
• Commonplace – $825 / month: Begins with 25 GB; purchase extra capability in 25 GB blocks. Limitless person entry.
• Premium – $2,750 / month: Begins with 50 GB, provides AI/ML, public/nameless entry, bigger app sizes (10 GB).
• Enterprise – Customized quote: Begins at 250 GB; helps bigger app sizes (as much as 40 GB), multi-region tenants, expanded AI/automation quotas.

Go to Qlik →

Domo is a cloud-first enterprise intelligence platform, and Domo In every single place is its embedded analytics answer aimed toward sharing Domo’s dashboards outdoors the core Domo atmosphere. With Domo In every single place, firms can distribute interactive dashboards to prospects or companions through embed codes or public hyperlinks, whereas nonetheless managing all the things from the central Domo occasion.

Domo is thought for its end-to-end capabilities within the cloud – from knowledge integration (500+ connectors, built-in ETL known as Magic ETL) to knowledge visualization and even a built-in knowledge science layer.

For embedding, Domo emphasizes ease of use: non-technical customers can create dashboards in Domo’s drag-and-drop interface, then merely embed them with minimal coding. It additionally affords strong governance so you may management what exterior viewers see.

Pricing: (Subscription, contact Domo for quote – USD)

• Primary Embedded Package deal – roughly $3,000 per thirty days for a limited-user, limited-data situation. This would possibly embody a handful of dashboards and a reasonable variety of exterior viewers.
• Mid-size Deployment – roughly $20k–$50k per yr for mid-sized companies. This is able to cowl extra customers and knowledge; e.g., a number of hundred exterior customers with common utilization.
• Enterprise – $100k+/yr for large-scale deployments. Enterprises with hundreds of exterior customers or very excessive knowledge volumes can count on prices in six figures. (Domo usually constructions enterprise offers as unlimited-user however metered by knowledge/question credit.)

Go to Domo →

Yellowfin is a BI platform that has carved a distinct segment in embedded analytics and knowledge storytelling. It affords a cohesive answer with modules for dashboards, knowledge discovery, automated alerts (alerts on adjustments), and even a singular Story characteristic for narrative reporting.

For embedding, Yellowfin Embedded Analytics gives OEM companions a versatile licensing mannequin and technical capabilities to combine Yellowfin content material into their purposes. Yellowfin’s energy lies in its balanced focus: it’s highly effective sufficient for enterprise BI but additionally streamlined for embedding, with options like multi-tenant assist and white-labeling.

It additionally has NLP question (pure language querying) and AI-driven insights, aligning with trendy traits. A notable characteristic is Yellowfin’s knowledge storytelling – you may create slide-show fashion narratives with charts and textual content, which may be embedded to provide end-users contextual evaluation, not simply uncooked dashboards.

Yellowfin is usually praised for its collaborative options (annotations, dialogue threads on charts) which may be helpful in an embedded context the place you need customers to have interaction with the analytics.

Pricing: (Customized – Yellowfin affords versatile fashions)

Go to Yellowfin →

Mode is a platform geared in the direction of superior analysts and knowledge scientists, combining BI with notebooks. It’s now a part of ThoughtSpot (acquired in 2023) however nonetheless supplied as a standalone answer.

Mode’s attraction in an embedded context is its flexibility: analysts can use SQL, Python, and R in a single atmosphere to craft analyses, then publish interactive visualizations or dashboards that may be embedded into net apps. This implies in case your software’s analytics require heavy customized evaluation or statistical work, Mode is well-suited.

It has a contemporary HTML5 dashboarding system and not too long ago launched “Visible Explorer” for drag-and-drop charting, plus AI help options for question ideas. Corporations usually use Mode to construct wealthy, bespoke analytics for his or her prospects – for instance, a software program firm would possibly use Mode to develop a posh report, after which embed that report of their product for every buyer with the info filtered appropriately.

Mode helps white-label embedding, and you’ll management it through their API (to provision customers, run queries, and many others.). It’s widespread with knowledge groups because of the seamless workflow from coding to sharing insights.

Pricing: (USD)

• Studio (Free) – $0 without end for as much as 3 customers. This consists of core SQL/Python/R analytics, non-public knowledge connections, 10MB question restrict, and many others. Good for preliminary growth and testing of embedded concepts.
• Professional (Enterprise) – Begins round ~$6,000/yr (estimated). Mode doesn’t checklist fastened costs, however third-party sources point out professional plans within the mid four-figure vary yearly for small groups.
• Enterprise – Customized pricing, usually five-figure yearly as much as ~$50k for big orgs. Consists of all Professional options plus enterprise safety (SSO, superior permissions), customized compute for heavy workloads, and premium assist.

Go to Mode →

The right way to Select the Proper Embedded Analytics Device

Deciding on an embedded analytics answer requires balancing your organization’s wants with every device’s strengths. Begin along with your use case and viewers: Contemplate who will likely be utilizing the analytics and their technical degree. In the event you’re embedding dashboards for non-technical enterprise customers or prospects, a device with a simple UI could possibly be essential. Conversely, in case your software calls for extremely customized analyses or you could have a powerful knowledge science workforce, a extra versatile code-first device is perhaps higher.

Additionally consider whether or not you want a totally managed answer (extra plug-and-play, e.g. Explo or Domo) or are keen to handle extra infrastructure for a doubtlessly extra highly effective platform (e.g. self-hosting Qlik or Sisense for full management). The scale of your organization (and engineering assets) will affect this trade-off – startups usually lean in the direction of turnkey cloud companies, whereas bigger enterprises would possibly combine a platform into their current tech stack.

Integration and scalability are essential components. Have a look at how effectively the device will combine along with your present techniques and future structure. Lastly, weigh pricing and complete price of possession in opposition to your funds and income mannequin. Embedded analytics instruments differ from per-user pricing to usage-based and glued OEM licenses. Map out a tough projection of prices for 1 yr and three years as your person depend grows.

FAQs (Embedded Analytics and Reporting)

1. What are the principle variations between Tableau and Energy BI?

Tableau focuses on superior visible design, cross-platform deployment (on-prem or any cloud), and a big viz library, nevertheless it prices extra per person. Energy BI is cheaper, tightly built-in with Microsoft 365/Azure, and nice for Excel customers, although some options require an Azure capability and Home windows-centric stack.

2. How does Sisense deal with giant datasets in comparison with different instruments?

Sisense’s proprietary ElastiCube “in-chip” engine compresses knowledge in reminiscence, letting a single node serve tens of millions of rows whereas sustaining quick question response; benchmarks present 500 GB cubes on 128 GB RAM. Competing BI instruments usually depend on exterior warehouses or slower in-memory engines for related workloads.

3. Which embedded analytics device affords the most effective customization choices?

Sisense and Qlik are stand-outs: each expose full REST/JavaScript APIs, assist deep white-labeling, and let dev groups construct bespoke visible elements or mashups—splendid once you want analytics to feel and appear 100 % native in your app.

4. Are there any free options to Tableau and Sisense?

Sure—open-source BI platforms like Apache Superset, Metabase, Redash, and Google’s free Looker Studio ship dashboarding and fundamental embedded choices at zero price (self-hosted or SaaS tiers), making them good entry-level substitutes for smaller groups or tight budgets.

The Northeastern crew developed a brand new kind of compliant robotic arm that may apply over 1 Nm of torque. | Supply: MassRobotics

MassRobotics introduced the winners of its third Kind & Operate College Robotics Problem on the Robotics Summit & Expo in Boston final week. Fifteen groups from across the globe showcased their initiatives on the present. The Transformative Robotics Lab crew from Northeastern College gained.

The successful robotic, a Comfortable Robotic Arm Screwdriver that spun and safely scrubbed plates, was picked by a panel of judges from the robotics business. The concept of this problem is to create a robotic that appears good (type) and works (perform).

As a primary in Kind & Operate historical past, second prize and viewers alternative have been each awarded to the identical crew, the College of Waterloo’s Gripper for First Responders. This crew had a novel gripper and arm that would assess victims in an emergency state of affairs.

Third prize was awarded to the returning Warmth Robotics College of British Columbia Okanagan Campus Wildfire Containment crew. It gained for its continued improvement and enhancements to its method to combating and stopping wildfires.

The competitors was intense this yr, and the judges mentioned they felt compelled to present an honorable point out to the Kurtz Robotics Boston College Automated Develop Mattress crew for its robotic, which may decide tomatoes in a scalable, cost-effective manner.

All the groups showcased progressive methods that impressed attendees. College students reported that corporations have been already providing jobs and even to work with them on their robots. The expertise of interacting and networking with business professionals was priceless to researchers who typically don’t get their work seen outdoors of their campus or labs.

MassRobotics sponsors, together with Altium, AMD, Analog Units, Autodesk, Copley Controls, Danfoss, FESTO, Harmonic Drive, igus, Lattice Semiconductor, maxon, Mitsubishi Electrical, and Novanta, donated parts and software program to the groups. This allowed the coed groups to make use of the newest choices within the business.

MassRobotics residents, healthcare startups additionally exhibit

On the Robotics Summit & Expo final week, MassRobotics additionally hosted a Startup Alley that showcased 21 of its resident startups, and the MassRobotics Accelerator. Powered by Mass Tech Collaborative, every of the businesses within the Accelerator cohort offered its applied sciences and enterprise fashions.

Startups that participated included Haystack Ag, LiftLabs, Mito Robotics, Nexterity, p!ng, Crimsonefine Surgical procedure, ReviMo, Revolute Robotics, Tatum Robotics, and Variable Machines.

The Healthcare Robotics Startup Catalyst program highlighted its newest cohort of startups who made their remaining displays, sharing their milestones and achievements made throughout this yr’s program. Startups included OTSAW, ReviMo, Sixdof House, Subtlebotic, TechNovator, Tenomix.

Attendees have been capable of see improvements firsthand on the showroom ground — from a patient-transfer system to surgical instrument dealing with.

The MassRobotics Kind & Operate Problem on the Robotics Summit present ground. | Supply: MassRobotics

Strategic partnership continues at 2025 Robotics Summit

As a strategic companion with WTWH Media for the 2025 Robotics Summit & Expo, MassRobotics performed a key function in offering steering and leveraging its in depth international community to assist the occasion. Over 5,000 attendees participated in periods led by business leaders comparable to PSYONIC, Symbotic, Amazon Robotics, MIT CSAIL, and Boston Dynamics, gaining insights into the way forward for robotics improvement. The exhibit corridor almost doubled in its footprint from final yr, with near 200 exhibitors.

“We set information for attendance and exhibitors on the 2025 Robotics Summit & Expo, attracting members from greater than 45 international locations,” mentioned Steve Crowe, chair of the occasion and govt editor of The Robotic Report.

“This degree of development wouldn’t have been doable with out the assist of our strategic companion, MassRobotics. Its sturdy community of startups and deep business connections carry invaluable vitality, innovation, and experience to the occasion,” he added. “We stay up for rising this occasion in Boston and dealing with MassRobotics for years to come back.”

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