- Cloud modernization. We move legacy applications toward modular services, managed cloud infrastructure, and deployment patterns that support reliability and scale.
- Codebase modernization. To identify architectural risks before making platform changes, we use automated analysis.
- API-first platform design. You get clear integration patterns and service boundaries, so new systems fit existing products and partner platforms with less rework.
- Architecture roadmaps. We map clear delivery plans so modernization work fits organizational needs.
- CI/CD and release automation. To shorten release cycles without weakening change control, we implement full delivery workflows.
How We Deliver AI That Works
AI Talent Without Local Hiring Friction
We give access to experienced AI and MLOps engineers working on complex systems. Clients avoid lengthy local recruitment challenges.
Production-Ready From the Start
We build systems with operational requirements in mind from day one. This lowers the risk of projects stalling after the pilot phase.
Data Foundations
We treat data quality and structure as a core part of delivery. Issues are addressed early, before model work begins.
Experience in High-Stakes Environments
Our team regularly works with clients who demand high reliability, control, and governance — common in life sciences, healthcare, and fintech.
AI Built to Last
We include monitoring, maintenance, and evolution practices from the beginning. This helps systems stay effective long after launch.
Architecture for Sustainable Scale
We focus on architectural decisions that support growth without uncontrolled infrastructure costs.
Proven in Production
We bring experience from projects successfully delivered into production with real business impact.
Deeply Embedded Teams
We work as dedicated teams integrated into the client’s processes and context. This supports both delivery and internal adoption.
AI Development Services in Boston
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Application Modernization
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Agentic AI Solutions
- Agent workflows and copilots. To orchestrate complex interactions across key business functions, we build these systems.
- ML-enabled process improvement. We apply forecasting, classification, ranking, and anomaly detection to remove manual steps and improve throughput where there is usable data.
- Operational analytics and forecasting. You get decision-support tools built on operational data, so planning is based on current demand, capacity, and performance signals.
- Model governance and controls. To ensure AI systems used in production have proper governance mechanisms, we define production governance controls.
- Commercial operations automation. We build systems that help teams manage high-volume transactions, order workflows, and logistics tasks with less manual coordination.
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AI for Logistics and Supply Chain
- Routing optimization. We build tools that help logistics teams plan routes, improve delivery efficiency, and adapt to urban constraints.
- Predictive fleet maintenance. To identify service needs before they cause downtime, we use maintenance data and vehicle telemetry.
- Environmental impact analytics. You get visibility into emissions, route efficiency, and compliance signals, so operational tradeoffs are easier to measure.
- Supply chain AI orchestration. We build systems that help teams coordinate shipments, inventory, and supplier updates across distributed operations.
- Dynamic inventory forecasting. To improve inventory planning and reduce inventory risk, we use key demand drivers.
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AI-Powered Fintech Platforms
- Payments and digital account platforms. We build secure web and mobile products for core financial workflows with strong audit and access controls.
- Predictive investment analytics. To help teams evaluate market signals, portfolio risk, and reporting needs, we build data pipelines and analytics tools.
- Transaction execution systems. You get payment and transfer infrastructure designed for speed, auditability, and operational reliability in regulated environments.
- Automated Portfolio Balancing. Intelligent systems dynamically adjust asset allocations based on real-time macroeconomic indicators.
- Secure ledger integration. To meet audit and control requirements, we integrate ledger systems with the appropriate control mechanisms.
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IT/OT Integration
- Shop-floor and enterprise integration. We connect key operational data flows so core business teams work from the same production picture.
- Automated quality assurance. To support inspections at key points in the production process, we use rules-based checks.
- Energy Consumption Optimization. You get tighter control over industrial power usage through predictive models and live sensor data, with efficiency targets tied to operations.
- Predictive machinery analytics. We use sensor data to monitor equipment performance and flag early signs of maintenance risk.
- Digital twin simulation. To help teams test scenarios before making production changes, we create digital models of physical assets.
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CTO Advisory Services
- Architecture and platform reviews. Senior engineers assess key architectural areas to identify strategic portfolio decisions.
- Business-case alignment. To make investment decisions easier to defend, we connect engineering priorities to key business metrics.
- Strategic restraint. You get clearer modernization boundaries, so stable systems stay in place and investment goes only to changes with a strong technical or business case.
- Technology Procurement Structuring. We assist executive committees in establishing highly effective software vendor evaluation frameworks.
- Transformation roadmap execution. To turn modernization plans into phased delivery work with clear owners, timelines, and technical dependencies, we help teams execute them.
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QA and Test Automation
- Automated testing at the pipeline level. We add all key test types to the delivery pipeline so quality issues are caught before release.
- Static analysis and AI-assisted code review. To identify quality issues earlier in the SDLC, we use automated review tooling.
- Continuous performance verification. You get early visibility into load and performance risks, before peak traffic turns them into production issues.
- Quality strategy. ISTQB-certified QA specialists can help define test coverage, automation priorities, and release criteria.
- Integrated Delivery Pipelines. We seamlessly embed automated validation protocols into your existing continuous integration environments.
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E-commerce Solutions
- AI customer support. We build assistants that help shoppers find products, answer order questions, and route complex issues to the right team.
- Pricing optimization. To support pricing decisions, we build pricing tools that use demand, inventory, competitor data, and target margin metrics.
- Predictive demand forecasting. You get demand planning grounded in sales, seasonality, and inventory signals, helping reduce stockouts and excess stock.
- Checkout optimization. We design checkout flows that reduce friction, support secure payments, and improve conversion.
- Returns automation. To help teams process returns more efficiently, update inventory, and coordinate restocking, we build the necessary workflows.
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DevSecOps and Security
- Zero-trust security architecture. We implement modern access controls for cloud-first teams.
- AIOps for security operations. To help teams accelerate incident response, we use monitoring and automation.
- Compliance readiness. You get a clearer path to audit evidence and control coverage for industry standards where AI governance matters.
- Embedded Security Pipelines. Cryptographic validation protocols operate seamlessly within your daily continuous integration workflows.
- Vulnerability management. To help teams manage security risks before they become production issues, we support them with the right processes and controls.
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Engineering Team Extension
- Embedded engineering capacity. We add product engineers, platform engineers, data engineers, QA automation, or ML specialists where your team has a delivery gap.
- Team alignment. To help external engineers work effectively with internal teams, we establish clear working protocols.
- Flexible SDLC engagement. You get specialized engineering support where delivery is blocked, whether the need is architecture, implementation, testing, or rollout.
- Outcome-based team support. We align delivery work with the key performance indicators your team is responsible for.
- Access to specialized talent. We staff for specialized engineering domains rather than providing generalist overflow capacity.
We’ve worked extensively in terms of geography and sector, developing a variety of work — products, services, and experiences — that has taught us that a well-defined visual strategy is key to bring visibility, credibility, and funds to any organisation. Starting in 2018, we decided to plant a tree for each client that we work with.
70
+Successfully completed projects
71
%Devox Software annual growth
100
+Tech specialists on board
82
%Clients with us for more than 2 years
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Additional Info
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Industry Contribution Awards & Certifications
Some Insights into AI Development Services
Testimonials
Questions and Answers
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How can we be sure that our AI investments will actually help the business grow?
We view AI as a tool to achieve your commercial goals, not as an end in itself. Every project is directly tied to measurable results: reducing costs, accelerating operations, or increasing customer satisfaction. Our partnership always ensures that you clearly understand how AI investments work for your success.
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What is your vision of the AI Harness architecture for enterprise implementation?
We view AI Harness as a vital level of control that transforms an intelligent model into a safe, reliable Agent ready for work in a production environment. It is the infrastructure around the model that provides:
- Memory and Context: Provides the Agent with the ability to recall previous actions and decisions, ensuring a consistent state throughout task execution.
- Guardrails: Limits the Agent’s action space, preventing credential leaks or operations outside of business and security policies.
- Tool Integration: Provides the Agent with “hands” for API calls, database queries, or code execution in a controlled environment.
- Observability: Records every action and decision, allowing humans to audit Agent behavior and confirm accountability for any given decision.
This shifts the focus from the model itself to the infrastructure that makes AI reliable, verified, and safe for deployment in a regulated business.
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How do you ensure seamless interaction between all of our systems?
We strive to create a “single source of truth” where all your key employees work with the same, up-to-date data. We integrate all your core operating systems to provide this “unified view.” When you unify your data, you can easily implement new tools for monitoring, alerts, and powerful analytics, ensuring greater reliability and smarter resource planning.
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Where do Generative and Agentic AI relieve the load from our team?
We apply these intelligent systems to routine tasks, where we can easily control model actions. While Agentic AI takes on the routine, we always keep your experts in key areas: they manage exceptions, control quality, and make any high-risk decisions.
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How do you guarantee that you provide us with honest and unbiased advice?
Our rule is simple: not every system needs replacement, and not every process requires AI. We advise changes only when we see a clear commercial or technical advantage specifically for you. We openly recommend keeping stable, working systems as they are. We propose modernization only after presenting a solid business case. Teams comparing cities can also review our custom software development in Boston. See our AI development services for coverage in that market too.
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How does your team integrate with ours for rapid decision-making?
We use an “embedded team” model. Our engineers don’t just work for you; they integrate into your internal product organization. They share your tools, priorities, and decision-making flow. This structured, collaborative approach ensures that our external experts feel and function as a seamless extension of your internal team.
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What is your approach to ensuring software quality from the very start?
For us, quality is not a final check but a fundamental part of the entire development process. We weave automated checks and code reviews directly into our daily workflow. While our ISTQB-certified quality control experts manage the testing strategy, our main focus is on identifying issues much earlier. This means fewer defects and more reliable and robust engineering standards.
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We Fix, Transform, and Skyrocket Your Software.
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