Aegiq

(This profile is one entry in my 2025 series on quantum hardware roadmaps and CRQC risk. For the cross‑vendor overview, filters, and links to all companies, see Quantum Hardware Companies and Roadmaps Comparison 2025.)

Introduction

Aegiq is a UK-based quantum technology startup (spun out from the University of Sheffield in 2019) that focuses on building full-stack photonic quantum computing systems. The company initially gained recognition for its work in quantum networking and quantum key distribution (QKD), leveraging a proprietary single-photon and integrated quantum optics platform.

Today, Aegiq’s ambitions extend beyond secure communications – it is actively developing both quantum hardware (photonic quantum processors and components) and software, aiming to deliver scalable quantum computers based on photons. Aegiq brands itself as a “full-stack photonic quantum computing” company, meaning it develops everything from the single-photon sources and photonic chips up to control software and end-user applications. Its flagship prototype, a photonic quantum computing platform named Artemis, exemplifies this approach – combining on-demand single-photon generators, integrated photonic circuits, and fiber-optic interconnects in a compact, reconfigurable system. In short, Aegiq is staking out a position at the intersection of quantum computing and photonic communication, with a vision to harness light for both networking and computing in the quantum era.

Milestones & Roadmap

Since its founding in 2019, Aegiq has hit several key milestones in its quest toward photonic quantum computing. In its early years, the company concentrated on quantum communication technology – notably demonstrating a quantum dot-based single-photon source for QKD in the laboratory and securing the intellectual property around this platform. By 2022, Aegiq had raised seed funding (from investors such as High-Tech Gründerfonds and Deepbridge Capital) to commercialize its quantum networking tech, and its patented single-photon source was being transitioned from university labs to a scalable commercial product. These achievements laid the groundwork for Aegiq’s pivot toward full-stack quantum computing.

In 2024, Aegiq’s roadmap accelerated with a major win in a UK national competition to develop quantum computing hardware testbeds. The company was awarded funding from the UK Research & Innovation’s Technology Missions program, in partnership with the National Quantum Computing Centre (NQCC), to deliver Artemis – a compact photonic quantum computer prototype. Artemis is built on Aegiq’s proprietary integrated photonic chip technology and incorporates a low-loss silicon nitride waveguide platform from partner QuiX Quantum. This project established Artemis as one of seven diverse quantum computing testbeds within the NQCC, and marked Aegiq’s transition from concept to a deployed hardware prototype. The Artemis system, intended as a reconfigurable quantum computing platform, provides a starting point to tackle problems that are intractable for classical computers, and it interfaces with the NQCC ecosystem for benchmarking and user experiments. By mid-2025, Aegiq had its hardware installed at the NQCC facility alongside other modalities (ion traps, neutral atoms, etc.), underscoring its status as a key player in the UK’s quantum computing efforts.

Aegiq’s milestone progression also includes strategic partnerships and technology demonstrations. In April 2025, Aegiq (in collaboration with British Telecom and others) successfully demonstrated a Quantum Link Assurance System (QLAS) – essentially a fiber-optic network integrity sensor inspired by quantum communications. This UKRI-funded project, while not a quantum computer itself, solved a practical obstacle for deploying QKD by detecting fiber tampering and signal anomalies in real-time. The QLAS demo showcased Aegiq’s photonics expertise and built credibility with end-users in telecom, even as the company works toward more advanced quantum computing capabilitiess. Another significant partnership came in mid-2025, when Aegiq signed a Memorandum of Understanding with Germany’s Pixel Photonics to integrate waveguide-integrated superconducting nanowire detectors (WI-SNSPDs) with Aegiq’s single-photon source platform. By combining Aegiq’s on-demand photon sources (operating at GHz clock rates) with Pixel Photonics’ on-chip single-photon detectors, the collaboration aims to break through current performance ceilings and enable more scalable photonic quantum computing stacks. This reflects a broader roadmap strategy for Aegiq: forge alliances to incorporate cutting-edge photonic components (sources, detectors, processors) into its system, thereby improving scalability and performance at each layer.

Looking forward, Aegiq’s public roadmap emphasizes scaling up its photonic quantum hardware and moving toward fault-tolerant architectures. The company often cites a long-term target of reaching on the order of a million physical qubits as necessary for truly commercially valuable quantum computing. While current prototypes like Artemis operate with only a handful of photonic qubits, Aegiq’s development path involves gradually increasing qubit counts, improving the integration density of photonic chips, and networking multiple modules together. The modular, rack-mounted design of its systems – essentially 19-inch datacenter racks filled with photonic source, switch, processor, and detector modules – is meant to facilitate incremental scaling by adding more racks or modules in a “distributed quantum computing” fashion. Though Aegiq has not publicly released a detailed timeline with qubit numbers, its participation in the NQCC testbed and collaborations indicate that the next milestones will likely involve delivering higher-qubit-count photonic processors, refining the control software (e.g. the Light Works SDK for users), and ultimately achieving a quantum advantage on certain tasks. In summary, Aegiq’s roadmap has evolved from QKD components to a small-scale quantum computer prototype, and is now firmly aimed at scaling that prototype into a full-fledged, fault-tolerant photonic quantum computer in the coming years.

Focus on Fault Tolerance

Fault tolerance – the ability of a quantum computer to correct errors and reliably run deep algorithms – is a stated long-term focus for Aegiq. Although the company’s current photonic devices are not yet error-corrected, Aegiq emphasizes that its technology choices will pave the way toward the fault-tolerant era of large-scale quantum computing. In practice, achieving fault tolerance will require a combination of massively scaling qubit counts and implementing quantum error correction schemes. Aegiq’s CEO has noted that on the order of 1,000,000 physical qubits may be needed to solve useful problems in a fully error-corrected manner – a reflection of the overhead associated with quantum error correction. The company’s photonic approach is being designed with this in mind. For example, by using deterministic single-photon sources (quantum dot emitters that produce identical photons on demand) instead of probabilistic light sources, Aegiq aims to start with higher fidelity qubits and gates, easing the burden on error correction in the futureg. Likewise, the use of low-loss integrated photonic circuits (e.g. silicon nitride waveguides) is intended to minimize error rates per operation, which is critical for reaching the error thresholds required for fault-tolerant quantum computing.

While Aegiq has not publicly detailed a specific error-correcting code or architecture it will use (e.g. surface codes, cluster states, etc.), its platform is compatible with approaches favored in photonic quantum computing research. In photonic systems, one route to fault tolerance is measurement-based quantum computing with large entangled cluster states, where redundancy in the cluster can correct for losses or gate errors. Aegiq’s modular architecture – producing streams of single photons, routing them through reconfigurable linear optical networks, and measuring the outcomes – could naturally support a fusion-based or cluster-state error correction scheme in the future. The company’s own messaging hints at this: it speaks of a “clear path” to fault-tolerant quantum computers via an integrated photonic approach. This likely involves building up scalable resource states (massive entangled photon networks) and using fast feed-forward control to perform error-corrected logic operations, as envisioned by leading photonic QC architectures. For now, Aegiq’s prototypes remain in the pre-fault-tolerant stage – only 4-6 qubits and no active error correction. But the emphasis on high-quality components and modular scalability suggests that as the hardware grows, fault tolerance will be addressed by layering error-correcting techniques onto the photonic platform.

It’s worth noting that fault tolerance in photonics faces unique challenges (discussed more under Challenges), and Aegiq will need to demonstrate dramatic improvements in scale and fidelity to reach that regime. However, the company’s awareness of these requirements is clear. By prioritizing properties like indistinguishable photons, ultra-low-loss circuitry, and networked module architecture from the outset, Aegiq is aligning its R&D with the eventual goal of fault-tolerant, reliable quantum computation. As their website puts it, the photonic platform is built “with a clear path towards the fault tolerant era of large scale quantum computers.”

CRQC Implications

Cryptographically Relevant Quantum Computing (CRQC) refers to a quantum computer powerful enough to break modern cryptographic algorithms (for example, factoring the large numbers that underlie RSA encryption). Aegiq’s work, if scaled to its full potential, certainly has implications for CRQC – both in posing a threat (as a builder of quantum computers) and in mitigating that threat (as a provider of quantum-safe communication tools). On one hand, Aegiq’s photonic quantum computing roadmap aiming for millions of qubits is directly aligned with the global race to achieve CRQC. Aegiq’s architectures, like others in the field, are ultimately intended to run algorithms such as Shor’s algorithm for factoring, which would undermine classical public-key cryptography. While today Aegiq’s devices are far from that capability, the long-term significance of their success would be enormous: a scalable photonic quantum computer could one day decrypt RSA/ECC-protected data if not countered by post-quantum cryptography or QKD. In that sense, Aegiq is contributing to the progress toward CRQC (even if indirectly at this early stage).

On the other hand, Aegiq is very cognizant of the CRQC threat to cybersecurity and has been active in quantum-safe communications. The company’s QKD technology is explicitly positioned as a defense against future quantum code-breaking. Aegiq’s lead engineer has pointed out that QKD, being grounded in physics rather than computational complexity, remains secure even in the face of a future “super-fast quantum computer” that could appear decades from now. This is critical because adversaries may be harvesting encrypted data now to decrypt later when a CRQC becomes available (the so-called “harvest now, decrypt later” strategy). Aegiq advocates deploying QKD today to protect sensitive data against that future scenario. In an interview, Aegiq emphasized that organizations must start securing their communications now so that “when quantum computing comes in, they’re not in danger”. In line with this, Aegiq has participated in developing quantum network solutions like the QLAS system (for monitoring fiber link integrity) which, while not encryption itself, helps build trust in quantum-ready infrastructure.

In summary, Aegiq’s work straddles both sides of the CRQC coin. If its photonic quantum computers scale successfully, they will contribute to the realization of CRQC capabilities in the next decades. Simultaneously, Aegiq is using its photonics expertise to fortify communications (via QKD and related tech) ahead of the CRQC era. The company’s dual focus reflects a broader industry trend: pushing the frontier of quantum computing, while also accelerating quantum-safe cryptography to stay a step ahead of the coming cryptographic upheaval. Aegiq’s efforts underscore that the quantum computing revolution and the response to the Q-day (when quantum decryption becomes feasible) are two sides of the same coin – and it is actively involved in both preparing for and propelling the advent of cryptographically relevant quantum computing.

Modality & Strengths/Trade-offs

Aegiq has chosen a photonic (optical) modality for its quantum computing platform, meaning its qubits are represented by single photons traveling through optical circuits. This choice brings a distinct set of strengths and trade-offs. One major advantage of photonic qubits is their speed and connectivity. Photons can be generated and manipulated at extremely high rates – Aegiq’s single-photon sources operate at gigahertz-scale repetition frequencies, and its detectors (via Pixel Photonics) support ultra-fast detection with high efficiency. These fast clock cycles potentially translate to quicker gate operations and algorithm run-times compared to some matter-based qubit modalities. Moreover, photons move at the speed of light and can be distributed through standard telecom fiber, which aligns perfectly with modular and networked quantum computing. Aegiq exploits this by interfacing its photonic integrated circuits with off-the-shelf optical fiber, allowing multiple modules or processing units to be linked with minimal loss. This inherent connectivity means a photonic quantum computer can be naturally distributed or scaled by connecting additional racks/nodes via fiber – much like how classical data centers network compute nodes. In fact, photonic qubits are sometimes called “flying qubits,” and Aegiq’s approach leverages this to envision a data-center-like architecture of rack-mounted photonic processors all communicating optically.

Another strength of Aegiq’s photonic modality is that it avoids the extreme cryogenics or vacuum chambers required by many other qubit types. The core photonic operations (creating, routing, and interfering single photons) can be done at or near room temperature – Aegiq notes that only mild cooling is needed for its hardware, making integration into standard server environments much simpler. (The mild cooling likely refers to cooling the superconducting detectors, which is a far simpler task than cooling an entire qubit register to millikelvin temperatures.) This relative robustness means no delicate trapped-ion vacuum apparatus or dilution refrigerator “chandelier” is needed for the photonic processor itself. The result is a system that fits in a compact 19″ rack and in principle could be deployed in ordinary data centers or even field environments, a significant practical advantage. Aegiq’s design also takes advantage of decades of maturity in the photonics and semiconductor industries: its hybrid photonic chips are manufactured using high-volume semiconductor processes (for the quantum dot sources and possibly silicon photonics), which bodes well for scalability and manufacturability. The use of telecom-band photons means Aegiq can piggyback on well-developed fiber optic components and infrastructure. As Mark Thompson of PsiQuantum (another photonic QC company) put it, “Optical fiber is the most efficient way to transmit information between [quantum] chips and modules, and that’s why photonic quantum computing is so compelling.” Aegiq clearly subscribes to that view, combining semiconductor chip tech with optical networking as a route to large-scale systems.

However, the photonic modality also comes with significant challenges and trade-offs. A fundamental issue is that photons do not naturally interact with each other, and most two-qubit operations in linear optics are probabilistic. Unlike superconducting qubits or ions where two qubits can be made to directly interact via electric/magnetic fields, photons typically require beam-splitter interference and detection to enact entangling gates, which only succeed a fraction of the time. This means that purely optical quantum logic has an inherent nondeterminism. As an Optica report describes, “the single biggest challenge when using photons [for computing] is that almost all of their interactions are governed by probability,” affecting everything from single-photon generation to entanglement operations. The need to overcome this probabilistic behavior leads to complex schemes like multiplexing (using many repeated attempts or many parallel sources to boost success probability) and feed-forward switching to route successful outcomes onward. Aegiq’s approach attempts to mitigate this by using quantum-dot single photon sources that are deterministic, improving the odds that each clock cycle produces the needed photons for computation. This is a key trade-off decision: Aegiq’s solid-state emitters sacrifice some of the ease of parametric down-conversion sources, but gain the ability to generate identical photons on demand, which can significantly reduce the complexity of multiplexing. Even so, scaling photonic quantum logic will likely require additional techniques (e.g. buffering photons in optical delay lines or memories, using entangled resource states, etc.) to manage the probabilistic aspects of two-qubit gate operations.

Another trade-off is optical loss and error rates. Photons can be lost in transit or in components, and each loss or misdetected photon equates to a qubit error. High-fidelity operation demands extremely low-loss waveguides, switches, and couplers, as well as near-perfect single-photon detectors. Aegiq addresses this by using a low-loss silicon nitride photonic platform for its interferometric circuits and by partnering on state-of-the-art superconducting detectors, but the challenge remains to keep losses below the thresholds needed for error correction. Early photonic processors (by various companies) have shown that optical losses currently prevent demonstrations of any long, error-corrected circuits – “the system is not yet fault tolerant because we don’t have many qubits and the optical losses are too high to deliver error-corrected performance,” as one expert noted. This underscores that Aegiq’s modality, while fast and connectable, will demand exquisite engineering to control losses and maintain consistent photon quality as the system scales. Additionally, the reliance on superconducting detectors means cryogenic support hardware is still needed (though on a small scale), and generating and stabilizing many lasers or single-photon sources adds complexity in control electronics. In summary, Aegiq’s photonic quantum computing modality offers major strengths – high-speed operation, natural networking, no massive cryogenics, and leveraging semiconductor fabrication – but it comes with significant technical trade-offs in terms of probabilistic operations and loss management. The company’s strategy (deterministic sources, integrated optics, modular design) is explicitly crafted to maximize those strengths and alleviate the weaknesses as much as possible.

Track Record

Although Aegiq is a young company, it has built an impressive track record of technical achievements, prototypes, and collaborations. At the core of its technology is a deep scientific pedigree: Aegiq’s single-photon source and photonic chip designs emerged from two decades of research at the University of Sheffield’s quantum photonics labs. The founding team and researchers developed a method to produce “press-a-button” single photons using compound semiconductor quantum dots, work that spans numerous academic publications and PhD dissertations. This foundational innovation – creating on-demand, indistinguishable photons – is now a patented component of Aegiq’s product line. By 2022, Aegiq had demonstrated this technology in a QKD setting (secure optical links), showing that their quantum dot sources could integrate with quantum communication protocols. The company also secured early support from government innovation programs (e.g. Innovate UK) and seed investors to begin scaling the single-photon platform into real devices. For instance, Aegiq led a project with the University of Exeter (dubbed Project U-Quant) focusing on deploying its true quantum light sources for satellite communications, aiming to enable global quantum-secure links – an effort backed by Innovate UK in 2024. These early projects established Aegiq’s credibility in both the research community and among industry stakeholders looking for practical quantum solutions.

On the quantum computing front, Aegiq’s most visible achievement is the development and delivery of its Artemis photonic quantum computing prototype. As noted, Artemis was chosen as one of the UK’s national quantum testbeds – a strong validation of Aegiq’s approach. The Artemis hardware stack integrates all the essential components of a photonic quantum computer: quantum dot photon emitters, high-speed optical switches, a reconfigurable linear optical processor (silicon-nitride PIC), and superconducting photon detectors, all connected by fiber within a rack. By 2025, Aegiq reported that this system is functional with 4-6 photonic qubits, meaning it can generate entangled states or run small quantum algorithms with a handful of qubits in either analog or gate-based modes. Notably, Aegiq has made the hardware accessible to outside users (such as researchers and NQCC partners) through a Python-based SDK called Light Works, allowing remote experimentation on their photonic processor via cloud access. This indicates a level of maturity where Aegiq is not just building hardware in-house, but also interfacing it with software stacks and user programs – essentially an early quantum cloud service. The successful integration of Artemis into the NQCC and the broader user community counts as a key milestone in Aegiq’s track record, demonstrating end-to-end operation of a photonic quantum computer at a small scale.

Collaboration has been a hallmark of Aegiq’s journey, and the company has forged partnerships across academia, industry, and government. In addition to the NQCC partnership, Aegiq has worked closely with BT (British Telecom) on quantum communications. The culmination of that partnership was the April 2025 demonstration of the Quantum Link Assurance System (QLAS) at BT’s Adastral Park facility. Over an 18-month project, Aegiq and BT co-developed this system to monitor fiber optic lines for any interference or eavesdropping, using techniques derived from continuous-variable QKD protocols. The success of QLAS showed Aegiq’s ability to deliver a commercially relevant photonic solution (in this case, a security/sensing tool) to an end-user – a notable achievement for a startup. It also deepened Aegiq’s relationships: BT, as well as the UK National Quantum Communications Hub, have been important collaborators (Aegiq’s Quantum Communications Hub work was mentioned in the context of its Exeter project). Internationally, Aegiq’s collaboration with Pixel Photonics in Germany is another strong indicator of its track record. By partnering with Pixel Photonics to integrate cutting-edge single-photon detectors, Aegiq is addressing a known bottleneck in photonic computing (efficient detection) and doing so via cross-border tech synergy. This partnership was facilitated by shared investors (Quantonation and HTGF) and grants, and is expected to yield a combined photonic platform with much improved scalability.

Furthermore, Aegiq’s ecosystem involvement bolsters its credentials. The company is a member of leading quantum industry groups and programs – from the UKQuantum community and the National Quantum Computing Centre, to international consortia like QED-C and the Quantum Economic Development Consortium. It has backing from prominent quantum-focused funds (e.g. Quantonation via Pixel, Quantum Exponential, etc.) and was part of startup accelerators such as Creative Destruction Lab and Tech Nation. Aegiq has also drawn interest from end-users in defense (the Royal Navy and Honeywell were listed as entities it works with), suggesting that it has engaged in pilot projects or case studies in those sectors (perhaps applying quantum computing or QKD to defense problems). All these elements – prototypes delivered, projects completed, partnerships formed, and community engagement – constitute a strong track record for Aegiq in its first 4-5 years. It shows a company that is simultaneously advancing the science (publishing and innovating in photonic qubit tech) and the engineering (integrating complete systems and delivering them to users), while building trust with both investors and strategic partners.

Challenges

Despite its progress, Aegiq faces a suite of engineering and scientific challenges on the road to a large-scale photonic quantum computer. Many of these challenges are inherent to photonic quantum computing as a field, while others relate to the practical aspects of scaling up any quantum startup’s technology.

A primary technical challenge is tackling the probabilistic nature of photonic operations and managing optical losses – essentially, achieving high-fidelity, two-qubit gates at scale. As discussed, linear optical gates succeed only with some probability, and photons can be lost in transit. Overcoming this requires complex multiplexing architectures or novel approaches like entangled resource states. Engineering a solution means Aegiq must devise networks of optical switches and possibly optical memory buffers to ensure that when a particular entangling operation fails, another attempt can quickly take its place without derailing the computation. This is a non-trivial task: it demands sub-nanosecond timing synchronization, ultra-low-loss optical routing, and fast feed-forward logic to make use of successful gate events. Aegiq’s decision to focus on deterministic photon sources mitigates the problem but does not eliminate it – even with on-demand photons, achieving entanglement between photons still often relies on interference effects that have finite success probability. Therefore, one challenge will be to implement a scalable multiplexing or entanglement-generation scheme. This could involve, for example, creating “resource-efficient cluster states” on the fly (a frontier research topic) or incorporating some form of optical quantum memory (like storage in a rubidium atomic ensemble, as competitor ORCA does) to synchronize successful events. Integrating such advanced capabilities into Aegiq’s system without introducing prohibitively high loss or noise is a significant scientific and engineering hurdle.

Another challenge is maintaining performance as the system grows: scaling from a few qubits to thousands or more. Aegiq’s current 4-6 qubit device is a far cry from the million-qubit vision – scaling up will require orders of magnitude more sources, detectors, and optical components. This raises issues of manufacturing yield and uniformity. Photonic qubits only work if all photons are indistinguishable and all optical paths are stable; thus, fabricating large batches of identical quantum dot sources and integrating many photonic chips with consistent performance is difficult. Even small variations in photon frequency or circuit phase can spoil interference. Aegiq will need to leverage state-of-the-art nanofabrication (potentially through partners or foundries) to make sure its devices can be produced reliably at scale. The company’s use of high-volume semiconductor processes and partnerships (like using QuiX’s silicon-nitride platform) is an approach to address this, but ensuring quality control at quantum scale remains challengingt. Additionally, packaging thousands of components into a workable system introduces engineering issues: how to route fibers or waveguides between many modules; how to cool tens or hundreds of SNSPD detectors (likely via a cryocooler that can be integrated into the rack); and how to supply and control possibly hundreds of lasers or electrical drivers for the sources and phase shifters. Aegiq’s modular rack design attempts to compartmentalize these issues, but connecting modules while preserving quantum coherence and low loss will test the limits of photonic integration technology.

Error correction and fault tolerance, while a goal, also present a colossal challenge. To implement quantum error correction, Aegiq’s hardware must reach error rates below certain thresholds and be able to perform many gate operations in sequence without decoherence or catastrophic photon loss. Currently, optical losses are a major barrier – as noted, no photonic platform has demonstrated an error-corrected logical qubit yet. Aegiq will need to drastically improve its component efficiencies (source brightness, detector efficiency, coupling losses) and possibly incorporate error-correcting codes that are tailored to photonics (e.g. fusion-based error correction or others) to even approach fault tolerance. This is cutting-edge research territory. It implies that Aegiq’s team must not only engineer hardware but also contribute to the quantum architecture research – figuring out which error correction strategy (concatenated codes, cluster state approaches, etc.) best fits their hardware, and then implementing the massive overhead that comes with it. For example, a photonic surface code might require hundreds of physical photons for one logical qubit, all synchronized and entangled; realizing this will be extremely challenging. In essence, closing the gap between a few-qubit demonstrator and a fault-tolerant machine is arguably the toughest challenge of all, requiring breakthroughs in both theory and engineering.

Aegiq is also likely to face competition and the challenge of differentiation in a crowded quantum tech landscape. Larger companies (like PsiQuantum, which also pursues photonic quantum computing with billions in funding) and other startups (Quandela, Xanadu, ORCA, etc.) are all tackling similar issues. Aegiq will have to advance rapidly and capitalize on its specific advantages (such as its quantum dot source IP and its partnerships in the UK quantum ecosystem) to stay relevant. This competitive pressure means Aegiq must deliver on milestones (e.g. achieving a certain qubit count or a quantum advantage demonstration) before others leap too far ahead, all while operating with presumably more limited resources than tech giants. It’s a classic startup challenge intensified by the high stakes of quantum R&D.

Finally, from a broader perspective, even educating and recruiting talent could be an ongoing challenge. Photonic quantum computing requires a rare mix of expertise (photonics, quantum software, cryogenics, semiconductor fabrication, etc.). Aegiq will need to grow its team and collaborate widely to bring in the necessary skills to overcome the above challenges. The company seems aware of this, as evidenced by its involvement in quantum networks and industry groups fostering knowledge exchange. In one analysis, it was noted that many hurdles in quantum tech “are no longer rooted in fundamental physics, but in engineering and systems integration” – and solving these in one domain (communications or sensing) can aid progress in others like computing. Aegiq’s cross-domain work (e.g. QLAS in sensing, satellite QKD, etc.) may help it chip away at integration challenges that are common to all quantum technologies. Nonetheless, the road ahead will require innovative engineering solutions at every level to realize Aegiq’s lofty goals.