Build, automate, and scale with cloud you can trust

Analysis, architecture design, and integration services to modernize infrastructure and accelerate innovation.

Why cloud engineering matters — scalability, cost efficiency, and resilience

Scales with your business needs

Outdated systems limit flexibility and make it difficult to adopt new technologies like AI, automation, and cloud-native applications.

Rising cost, falling value

Older systems demand constant patching, higher energy use, and specialized maintenance — all while delivering diminishing returns.

Growing security and compliance risk

of infrastructure systems across organizations show technical debt concerns, including aging architecture and legacy dependencies, slowing innovation and increasing maintenance costs.

Fragmented environments, compounded complexity

of infrastructure systems across organizations show technical debt concerns, including aging architecture and legacy dependencies, slowing innovation and increasing maintenance costs.

What tkxel’s cloud engineering services makes possible for you

Fastest path to value

Move from concept to prototype in weeks with proven GenAI development frameworks.

Measurable business impact

Achieve up to 50% higher productivity and cost savings by integrating AI into workflows with clear, measurable outcomes.

Responsible by design

Ensure compliance and transparency through GenAI systems built on NIST AI RMF, ISO 27001, and EU AI Act standards.

Built-in guardrails

Maintain reliability and control with AI Agents designed to follow defined policies, prevent misuse, and ensure outputs remain accurate and compliant.

tkxel’s cloud engineering capabilities: architecture, automation, CI/CD, SRE

Product strategy and architecture
Product strategy and architecture

Define the technical foundations of lasting products. We translate business requirements into architecture blueprints, domain models, integration strategies, and scalability plans built on cloud-native and microservices principles. Our architecture work reduces hidden complexity, prevents costly rework, and gives your product a stable backbone for long-term growth.

Workflow automation solutions
Workflow automation solutions

We build agentic automation systems that eliminate repetitive tasks, reduce operational friction, and connect fragmented business processes for measurable productivity gains.

Multi-agent system architecture
Multi-agent system architecture

We create coordinated ecosystems of specialized agents that work together across teams and tools, giving your business greater visibility, smarter automation, and faster decisions.

Secure deployment & optimization
Secure deployment & optimization

We handle full-cycle deployment, monitoring, and performance tuning to ensure your AI agents remain secure, compliant, and continuously aligned with evolving business goals.

HOW IT WORKS

Our approach to cloud engineering – IaC, microservices, DevOps alignmen

A simple, proven process to go from idea to production — fast.

01
Discovery and solution design Pilot Transform & Scale MLOps, monitoring & governance Scale, optimize & evolve
01 Discovery and solution design

Identify application goals, user journeys, workflows, dependencies, and non-functional requirements through a structured discovery phase. We review existing systems, data flows, integration needs, constraints, and success criteria to shape a clear direction. MVP features are shortlisted to accelerate early delivery and reduce time to validation. When uncertainty exists, we run architectural spikes or lightweight proofs to validate assumptions before committing to design or development.

Deliverables: Business canvas, system flows, functional backlog, UI/UX design, technical architecture and design, estimates, delivery schedule

02 Pilot

MLOps, monitoring & governanceProof of Value
Validate your concept through a focused pilot. We define success metrics and confirm performance before expansion.

  • Duration: 4–6 Weeks
  • Deliverables: Interactive demo | Performance metrics | Compliance checklist

90-Day MVP
Develop a production-ready MVP with authentication, logging, and monitoring to ensure measurable outcomes.

  • Duration: 6–10 Weeks
  • Deliverables: Live MVP | SLOs | Adoption plan | Training resources
03 Transform & Scale

Discovery and solution designMLOps, monitoring & governance

04 MLOps, monitoring & governance

Full-Scale Rollout
Build full-scale products designed for seamless integration, superior user experiences, and scalable deployment across your organization.

  • Duration: 90 Days Onwards
  • Deliverables: Multi-use-case rollout | Performance reports | Operational playbooks
05 Scale, optimize & evolve

Discovery and solution designFull-Scale Rollout
Build full-scale products designed for seamless integration, superior user experiences, and scalable deployment across your organization.

  • Duration: 90 Days Onwards
  • Deliverables: Multi-use-case rollout | Performance reports | Operational playbooks

Success stories in spotlight

Salesforce Implementation

Streamlined ABB's operations with Salesforce and Azure integration

Machinery Manufacturing Enterprise Software

Engineering

23% increase in sales team productivity with a customized CSR system

Manufacturing Engineering

Engineering

23% increase in sales team productivity with a customized CSR system

Manufacturing Engineering

Engineering

23% increase in sales team productivity with a customized CSR system

Manufacturing Engineering

Engineering

23% increase in sales team productivity with a customized CSR system

Manufacturing Engineering

Why organizations partner with tkxel for cloud engineering

Operational efficiency at scale

Integrate AI Agents into business workflows to connect tools, streamline processes, and remove process bottlenecks, reducing operational delays and improving execution speed.

 

1

Operational efficiency at scale

Integrate AI Agents into business workflows to connect tools, streamline processes, and remove process bottlenecks, reducing operational delays and improving execution speed.

 

2

Operational efficiency at scale

Integrate AI Agents into business workflows to connect tools, streamline processes, and remove process bottlenecks, reducing operational delays and improving execution speed.

 

3

Operational efficiency at scale

Integrate AI Agents into business workflows to connect tools, streamline processes, and remove process bottlenecks, reducing operational delays and improving execution speed.

 

4

Operational efficiency at scale

Integrate AI Agents into business workflows to connect tools, streamline processes, and remove process bottlenecks, reducing operational delays and improving execution speed.

 

5

Our Tech Stack

Methodologies & Frameworks

OWASP OWASP
Anthropic Anthropic
Gemini Gemini
DeepSeek DeepSeek
Llama Llama

Our cloud security certifications and accreditations

eCPPT Certification

Certified Ethical Hacker (CEH)

CERTIFIED BUG BOUNTY HUNTER (CBBH)

CERTIPROF CYBER SECURITY FOUNDATION (CSFPC)

Microsoft Cloud Red Team Professional (MCRTP)

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Why businesses choose AI-powered teams

Workflow & process automation agents

utomate repetitive and rule-based tasks like payroll processing, invoice validation, inventory updates, approvals, and scheduling. These agents integrate across HR, finance, sales, and other business functions to reduce manual load and accelerate turnaround times. Potential applications: Employee onboarding, expense report validation, purchase order processing, and CRM record updates.

Conversational & experience agents

Deliver natural, human-like communication through chat, voice, or email to enhance both customer and employee experiences. These agents manage support tickets, meeting reminders, order updates, and onboarding queries, ensuring 24/7 responsiveness and consistent service quality. Potential applications: Customer support automation, internal IT helpdesk assistance, lead qualification chats, and order status updates.

Predictive & decision intelligence agents

Analyze real-time and historical data to forecast outcomes and recommend next steps. From sales forecasting and demand planning to risk scoring and resource allocation, these agents enable data-driven decisions that improve efficiency and measurable results. Potential applications: Sales forecasting, churn prediction, credit risk scoring, and demand planning optimization.

Orchestrator & multi-agent systems

Coordinate multiple specialized agents to manage complex, cross-functional operations. Acting as a unified intelligence layer, these systems enable seamless collaboration and continuous optimization across business workflows. Potential applications: Supply chain coordination, customer lifecycle management, multi-department workflow automation, and cross-system data synchronization.

Generative & knowledge agents

Create, summarize, and contextualize content for marketing, support, and knowledge management. These agents use secure LLM Ops pipelines to generate business-ready insights and assets. Potential applications: Marketing content generation, policy document summarization, report drafting, and internal knowledge base creation.

Vision & data agents

Extract, validate, and analyze data from text and visual inputs like invoices, reports, or product images to improve accuracy, compliance, and visibility across operations. Potential applications: Invoice data extraction, document classification, product defect detection, and report digitization.

Common Questions

Frequently Asked Questions

Everything you need to know before starting.

Your chosen engineer starts working immediately — joining your Slack, attending standups, and shipping real work from Day 1. You pay nothing upfront. After 2 weeks, if you're satisfied, you commit. If not, we replace them within 48 hours at no extra cost. No paperwork headaches, no awkward conversations.

No problem at all. We handle the swap entirely — no penalties, no awkward exit conversations, and no wasted time restarting from scratch. We tap into our pre-vetted pipeline and deliver a new shortlist within 48 hours. Most replacements are placed within the same week.

Every engineer goes through a 5-stage process: (1) resume & portfolio review, (2) live technical interview with our senior engineers, (3) coding assessment, (4) soft-skills & communication evaluation, and (5) background & reference check. Only the top 8% pass. You receive a full vetting report with each profile.

Yes. We match talent to your core working hours. We cover US (EST/PST), UK (GMT), EU (CET), and GCC (GST) timezones. You specify the overlap you need and we filter accordingly — minimum 4 hours of daily overlap is our standard.

We do — completely. Briloq acts as the employer of record. We handle employment contracts, IP assignment, NDA signing, payroll processing, local compliance, and equipment setup. You get a single monthly invoice. Zero HR overhead on your side.

Absolutely. Many clients start with one engineer and scale to a dedicated team of 5–15 within 90 days. We can build you a full pod — frontend, backend, DevOps, QA, and a PM — all pre-vetted and timezone-aligned. Tell us what you're building and we'll design the team structure.

We work across SaaS platforms, mobile apps, AI/ML products, data pipelines, DevOps infrastructure, and enterprise software. Our engineers have shipped products across fintech, healthtech, logistics, e-commerce, and developer tooling. If it runs on code, we can staff it.

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