Generative AI has been rapidly adopted by many different types of industries. Experimentation with Large Language Models alone is not enough to successfully implement generative AI. Organizations also need reliable generative AI system integrators who can align AI models with enterprise architecture, security standards, regulatory requirements, and long-term scalability objectives. 

To compile this list of companies, we used reputable B2B directories such as Clutch, GoodFirms, DesignRush, and Gartner Peer Insights, and surveyed over 70 different AI and software development firms that operate globally. This article is not meant to be a ranking but rather a curated list of selected trusted generative AI system integrators in 2026. 

Leading Generative AI System Integrators You Can Trust in 2026

The ITRex Group specializes in offering AI and data engineering services that include the integration of generative AI, as well as intelligent automation, computer vision, and predictive analytics. They work with enterprises to create AI-based personal assistants, intelligent document processing systems, and recommendation engines.

Clutch has recognized ITRex for their generative AI services, as well as numerous other B2B directories for their AI/big data services. ITRex’s generative AI solutions are designed to be scalable and work with ERPs, CRMs, and legacy systems for the enterprise.

5. Cognizant

Cognizant is a worldwide consulting firm specializing in technology solutions through the provision of enterprise AI services, such as the redesign of AI platforms, conversational AI, and intelligent automation. The company connects foundational AI models to enterprise systems as well as offers AI governance structures.

Cognizant, considered to be a Fortune 500 business, partners with major AI suppliers and cloud services companies in order to implement large-scale AI transformation projects across highly regulated sectors.

6. Thoughtworks

Advanced software engineering and AI strategy consulting are the primary focuses of Thoughtworks. By incorporating generative AI into digital platforms that feature responsible AI design, modern architecture, and a DevOps transformation.

Thoughtworks has been recognized with many awards within their industry for technology innovations and expertise in Agile transformations.

7. Globant

Globant provides empathetic digital experiences and enterprise AI solutions leveraged by AI technologies via their AI Design Studio, based on Generative Graphics, for a large-scale event to take maximum advantage of LLM use and Digital Platform Transformation.

The company is publicly traded (GLOB) as of October 18, 2021, and has received a broad array of global technology awards, both from IDG and from various newspapers such as Forbes.

8. Endava

Endava offers services related to digital transformation and AI integration for technology companies and financial services firms. Their services involving generative AI include developing chatbots, implementing intelligent automation solutions, and integrating enterprise AI with existing systems/technologies used by organizations.

Endava trades publicly (NYSE: DAVA) and has formed alliances with Amazon Web Services (AWS), Google Cloud, and Microsoft Azure.

9. Devoteam

Devoteam specializes in providing cloud transformation services, along with AI integration solutions. They have generative AI capabilities through LLM deployments, AI governance, and enterprise automation built on top of leading Cloud platforms.

Additionally, they are multi-Cloud partners holding certifications across all three major providers (AWS, Google Cloud and Microsoft).

10. Zfort Group

Zfort Group has expertise in providing development and integration for AI solutions, especially generative AI, along with offerings in blockchain as well as providing customised enterprise software solutions (including but not limited to the development of chatbots, development of analytical AI systems) as well as automation tools for their customers.

Zfort Group is showcased within several B2B directories as well as deliver services to SME and mid-sized businesses with competencies around integrating AI technologies with existing infrastructures.

Final Thoughts

Remember that when selecting your generative artificial intelligence system integrator for 2026, it is essential to evaluate very carefully the provider you choose by analyzing their technical capabilities, security standards, proven success from independent customer feedback, and documented experience deploying projects in the field. All of the companies listed here have proven dependable over time by being recognized within their industries as having delivered quality integration to customers with proven success at the enterprise level.

As generative AI continues to grow, working closely with well-established and secure system integrators will be crucial for converting AI experiments into measurable business results. 

At CES 2026 in Las Vegas, Singapore-based startup Strutt introduced the EV¹, a powered personal mobility device that uses lidar, cameras, and onboard computing for collision avoidance. Unlike manually-steered powered wheelchairs, the EV¹ assists with navigation in both indoor and outdoor environments—stopping or rerouting itself before a collision can occur.

Strutt describes its approach as “shared control,” in which the user sets direction and speed, while the device intervenes to avoid unsafe motion.

“The problem isn’t always disability,” says Strutt cofounder and CEO Tony Hong. “Sometimes people are just tired. They have limited energy, and mobility shouldn’t consume it.”

Building a mobility platform was not Hong’s original ambition. Trained in optics and sensor systems, he previously worked in aerospace and robotics. From 2016 to 2019, he led the development of lidar systems for drones at Shenzhen, China-based DJI, a leading manufacturer of consumer and professional drones. Hong then left DJI for a position as an assistant professor at Southern University of Science and Technology in Shenzhen—a school known for its research in robotics, human augmentation, sensors, and rehabilitation engineering.

However, he says, demographic trends around him proved hard to ignore. Populations in Asia, Europe, and North America are aging rapidly. More people are living longer, with limited stamina, slower reaction times, or balance challenges. So, Hong says he left academia to develop technology that would help people facing mobility limitations.

Not a Wheelchair—an EV

EV¹ combines two lidar units, two cameras, 10 time-of-flight depth sensors, and six ultrasonic sensors. Sensor data feeds into onboard computing that performs object detection and path planning.

“We need accuracy at a few centimeters,” Hong says. “Otherwise, you’re hitting door frames.”

Using the touchscreen interface, users can select a destination within the mapped environment. The onboard system calculates a safe route and guides the vehicle at a reduced speed of about 3 miles per hour. The rider can override the route instantly with joystick input. The system even supports voice commands, allowing the user to direct the EV1 to waypoints saved in its memory.

The user can say, for example, “Go to the fridge,” and it will chart a course to the refrigerator and go there, avoiding obstacles along the way.

The Strutt EV1 puts both joystick controls and a lidar-view of the environment in front of the device’s user. Strutt

Driving EV¹ in manual mode, the rider retains full control, with vibration feedback warning of nearby obstacles. In “copilot” mode, the vehicle prevents direct collisions by stopping before impact. In “copilot plus,” it can steer around obstacles while continuing in the intended direction of travel.

“We don’t call it autonomous driving,” Hong says. “The user is always responsible and can take control instantly.”

Hong says Strutt has also kept its users’ digital privacy in mind. All perception, planning, and control computations, he says, occur onboard the device. Sensor data is not transmitted unless the user chooses to upload logs for diagnostics. Camera and microphone activity is visibly indicated, and wireless communications are encrypted. Navigation and obstacle avoidance function without cloud connectivity.

“We don’t think of this as a wheelchair,” Hong says. “We think of it as an everyday vehicle.”

Strutt promotes EV1’s use for both outdoor and indoor environments—offering high-precision sensing capabilities to navigate confined spaces. Strutt

To ensure that the EV¹ could withstand years of shuttling a user back and forth inside their home and around their neighborhood, the Strutt team subjected the mobility vehicle to two million roller cycles—mechanical simulation testing that allows engineers to estimate how well the motors, bearings, suspension, and frame will hold up over time.

The EV1’s 600-watt-hour lithium iron phosphate battery provides 32 kilometers of range—enough for a full day of errands, indoor navigation, and neighborhood travel. A smaller 300-watt-hour version, designed to comply with airline lithium-battery limits, delivers 16 km. Charging from zero to 80 percent takes two hours.

Might These EVs Be Covered by Insurance?

The EV1 retails for US $7,500—a price that could place it outside the reach of people without deep pockets. For now, advanced sensors and embedded computing keep manufacturing cost high, while insurance reimbursement frameworks for AI-assisted mobility devices depend on where a person lives.

“A retail price of $7,500 raises serious equity concerns,” says Erick Rocha, communications and development coordinator at the Los Angeles-based advocacy organization Disability Voices United,. “Many mobility device users in the United States rely on Medicaid,” the government insurance program for people with limited incomes. “Access must not be restricted to those who can afford to pay out of pocket.”

Medicaid coverage for high-tech mobility devices varies widely by state, and some states have rules that create significant barriers to approval (especially for non-standard or more specialized equipment).

Even in states that do cover mobility devices, similar types of hurdles often show up. Almost all states require prior approval for powered mobility devices, and the process can be time-consuming and documentation-heavy. Many states rigidly define what “medically necessary” means. They may require a detailed prescription describing the features of the mobility device and why the patient’s needs cannot be met with a simpler mobility aid such as a walker, cane, or standard manual wheelchair. Some states’ processes include a comprehensive in-person exam, documenting how the impairment described by the clinician limits activities of daily living such as toileting, dressing, bathing, or eating. Even if a person overcomes those hurdles, a state Medicaid program could deny coverage if a device doesn’t fit neatly into existing Healthcare Common Procedure Coding System billing codes

“Sensor-assisted systems can improve safety,” Rocha says. “But the question is whether a device truly meets the lived, day-to-day realities of people with limited mobility.”

Hong says that Strutt, founded in 2023, is betting that falling sensor prices and advances in embedded processing now make commercial deployment of the EV¹ feasible.

Last year, Google first enabled AirDrop compatibility on Pixel 10 devices, a change that finally let Android phones share files with iPhones using Apple’s own system. Now, Google is expanding its Quick Share feature, and Pixel 9 phones are next in line.

Google shared the news on X, confirming that the Pixel 9, Pixel 9 Pro, Pixel 9 Pro XL, and Pixel 9 Pro Fold now support Apple’s AirDrop.

However, the company hasn’t explained why the Pixel 9a is excluded from this wave of compatibility. The feature will roll out over the coming weeks in phases.

How to set up Quick Share with AirDrop on Pixel phones

To enable the feature on a Pixel 9 series phone, follow these steps: Settings > System > Software updates > install the latest Google Play System update.

Make sure the Quick Share extension is also updated by opening Settings > All services > System services > Quick Share extension and installing the available update.

To receive files from a Pixel, Apple device owners need to set their AirDrop visibility to “Everyone for 10 Minutes,” allowing the connection to establish.

Google’s promise on privacy and performance

Google says the update allows Pixel 9 users to easily share high-resolution files with iPhones, iPads, and macOS devices. This makes it easier for friends using Apple products to exchange content over Bluetooth.

Google also says that privacy and speed remain priorities, adding that the system uses multiple layers of protection to keep shared files secure. The feature uses a direct, peer-to-peer connection, so files are not sent through servers, logged, or shared beyond the transfer itself.

For Pixel 9 users, it’s a small update that finally removes a big everyday annoyance when sharing files with iPhone friends.

As AI-powered coding tools flood the market, a critical weakness has emerged: by default, as with most LLM chat sessions, they are temporary — as soon as you close a session and start a new one, the tool forgets everything you were just working on.

Developers have worked around this by having coding tools and agents save their state to markdown and text files, but this solution is hacky at best.

Qodo, the AI code review startup, believes it has a solution with the launch of what it calls the industry’s first intelligent Rules System for AI governance — a framework that gives AI code reviewers persistent, organizational memory.

The new system, announced today as part of Qodo 2.1, replaces static, manually maintained rule files with an intelligent governance layer. It automatically generates rules from actual code patterns and past review decisions, continuously maintains rule health, enforces standards in every code review, and measures real-world impact.

For Itamar Friedman, CEO and co-founder of Qodo, the release represents a pivotal moment not just for his company but for the entire AI development tools space.

“I strongly believe that this announcement of ours is most important we ever done,” Friedman said in an interview with VentureBeat.

The ‘Memento’ problem

To explain the limitation of current AI coding tools, Friedman invokes the 2000 Christopher Nolan film Memento, in which the protagonist suffers from short-term memory loss and must tattoo notes on his body to remember crucial information.

“Every time you call them, it’s a machine that wakes up from scratch,” Friedman said of today’s AI coding assistants. “So all it can do is, before it goes to sleep and restart, it could write whatever it did in a file.”

This approach—saving context to markdown files like agents.md or napkin.md—has become a common workaround among developers using tools like Claude Code and Cursor. But Friedman argues this method breaks down at enterprise scale.

“Think about heavy duty software where you now have, let’s say, 100,000 of those sticky notes,” he said. “Some of them are sticky notes. Some of them are huge explanations. Some of them are stories. You wake up and you get a task. The first thing that [the AI] is doing is statistically starting to look for the right memos… It’s much better than not having it. But it’s very random.”

From stateless to stateful

The evolution of AI development tools has followed a clear trajectory, according to Friedman: from autocomplete (GitHub Copilot) to question-and-answer (ChatGPT) to agentic coding within the IDE (Cursor) to agentic capabilities everywhere (Claude Code). But he contends all of these remain fundamentally stateless.

“In order for software development to really revolutionize how we do software development for real world software, it needs to be a stateful machine,” Friedman said.

The core challenge, he explained, is that code quality is inherently subjective. Different organizations have different standards, and even teams within the same enterprise may approach problems differently.

“In order to really reach high level of automation, you need to be able to customize for the specific requirements of the enterprise,” Friedman said. “You need to be able to provide code in high quality. But quality is subjective.”

Qodo’s answer is what Friedman describes as “memory that is built over a long time and is accessible to the coding agents, and then they can poke and check and verify that what they’re actually doing is according to the subjective needs of the enterprise.”

How Qodo’s Rules System works

Qodo’s Rules System establishes what the company calls a unified source of truth for organizational coding standards. The system includes several key components:

• Automatic Rule Discovery: A Rules Discovery Agent generates standards from codebases and pull request feedback, eliminating manual authoring of rule files.

• Intelligent Maintenance: A Rules Expert Agent continuously identifies conflicts, duplicates, and outdated standards to prevent what the company calls “rule decay.”

• Scalable Enforcement: Rules are automatically enforced during pull request code review, with recommended fixes provided to developers.

• Real-World Analytics: Organizations can track adoption rates, violation trends, and improvement metrics to prove standards are being followed.

Friedman emphasized that this represents a fundamental shift in how AI code review tools operate. “It’s the first time that AI code review tool is moving from reactive to proactive,” he said.

The system surfaces rules based on code patterns, best practices, and its own library, then presents them to technical leads for approval. Once accepted, organizations receive statistics on rule adoption and violations across their entire codebase.

A tighter connection between memory and agents

What distinguishes Qodo’s approach, according to Friedman, is how tightly the rules system integrates with the AI agents themselves—as opposed to treating memory as an external resource the AI must search through.

“At Qodo, this memory and agents are much more connected, like we have in our brain,” Friedman said. “There’s much more structure to it… where different parts are well connected and not separated.”

Friedman noted that Qodo applies fine-tuning and reinforcement learning techniques to this integrated system, which he credits for the company achieving an 11% improvement in precision and recall over other platforms, successfully identifying 580 defects across 100 real-world production PRs.

Friedman offered a prediction for the industry: “When you look one year ahead, it will be very clear that when we started 2026, we were in stateless machines that are trying to hack how they interact with memory. And we will have a very coupled way by the end of 2026, and Qodo 2.1 is the first blueprint of how to do that.”

Enterprise deployment and pricing

Qodo positions itself as an enterprise-first company, offering multiple deployment options. Organizations can deploy the system entirely within their own infrastructure via cloud premise or VPN, use a single-tenant SaaS option where Qodo hosts an isolated instance, or opt for traditional self-serve SaaS.

The rules and memory files can reside wherever the enterprise requires—on their own cloud infrastructure or hosted by Qodo—addressing data governance concerns that enterprise customers typically raise.

On pricing, Qodo is maintaining its existing seat-based model with usage quotas. At present, the company offers three pricing tiers: a free Developer plan for individuals with 30 PR reviews per month, a Teams plan at $38 per user per month (with 21% savings available for annual billing) that includes 20 PRs per user monthly and 2,500 IDE/CLI credits, and a custom-priced Enterprise plan with contact-us pricing that adds features like multi-repo context awareness, on-prem deployment options, SSO, and priority support.

Friedman acknowledged the ongoing industry debate about whether seat-based pricing makes sense in an age of AI agents but said the company plans to address this topic more comprehensively later this year.

“If you get more value, you pay more,” Friedman said. “If you don’t, then we’re all good.”

Early customer response

Ofer Morag Brin of HR technology company Hibob, an early user of the Rules System, reported positive results in a press statement Qodo shared with VentureBeat ahead of the launch.

“Qodo’s Rules System didn’t just surface the standards we had scattered across different places; it operationalized them,” Brin said. “The system continuously reinforces how our teams actually review and write code, and we are seeing stronger consistency, faster onboarding, and measurable improvements in review quality across teams.”

Founded in 2018, Qodo has raised $50 million from investors including TLV Partners, Vine Ventures, Susa Ventures, and Square Peg, with angel investors from OpenAI, Shopify, and Snyk.

In a week overflowing with great deals, this is the one that caught my eye for its nostalgic appeal.

Lego has more than its fair share of themed building sets that are fun for all ages, but let’s be honest, the intricate sets made for adults are the most fun.

Now, the Lego Super Mario Game Boy Building Set has dropped to its lowest price of £40.99, from £54.99. That’s a quarter off the RRP, and you’ll also get two cartridges with Zelda and Super Mario Land.

There’s 25% off the LEGO Super Mario Game Boy set, making it the perfect little throwback build for anyone craving a hit of classic Nintendo nostalgia

Score 25% off the LEGO Super Mario Game Boy and dive into a build that feels like rediscovering your childhood all over again

Advertisement

View Deal

The Model 72046 provides a nearly life-sized replica of the original Nintendo Game Boy, all built from Lego bricks.

As a child of the 80s and 90s, I can’t tell you just how much I would have given for something like this back in the day.

Advertisement

Advertisement

I should also mention, in case you’re worried about not being able to tell which game is currently being displayed on the console, the set comes with lenticular screens that emulate the different lighting conditions of the original Game Boy.

Get Updates Straight to Your WhatsApp

Join Now

I’ll admit, as someone who built all three of the Lego Nintendo Entertainment System sets back in the day, Lego’s adult builds can be relatively pricey, but this one’s down to just £40.99 and is a far better buy if you want a more intricately designed model.

The instructions are easy to follow and there’s even a section of the instruction booklet that offers a tutorial on how to read the instructions.

Advertisement

Still, even if you are a Lego veteran, this particular set is a nice win for adult collectors, gamers and Nintendo fans alike, with a display stand to set the model off even better.

Advertisement

SQUIRREL_PLAYLIST_10148964