Specialists selected to meet your exact goals

Custom-Built Team

Professionals who integrate smoothly with your team

Seamless Collaboration

Supporting every phase from planning to impact

Aligned Workflow

Need a multi-disciplinary squad for a dedicated mission? Our Squad Teams combine experts from different domains to tackle complex challenges.

Squad Teams – Cross-Domain Expertise for Your Exact Needs

Leveraging years of hands-on experience and industry best practices, we've crafted battle-tested solutions to accelerate your engineering success. Our solutions are born from real challenges we've solved across tech companies.

Your Tech Challenges, Our Expert Solutions

Transform AI experimentation into a structured, scalable development process with Tikal’s Agentic SDLC solution.


Let’s build your Agentic SDLC foundation and define a governed, organization-wide AI development process.


Interested?

Elevate developers from coders to architects who guide AI collaborators while owning the final output.

Developer as Orchestrator

Move from ad-hoc prompts to a structured workflow where every task begins with a formal, version-controlled mission brief.

From Intent to Specification

Master both real-time AI collaboration for complex problems and asynchronous delegation for automating toil.

Dual Execution Loops

Manage cost, security, and quality with centralized orchestration, model routing, and adaptive quality gates.

Governance and Control

Turn AI instructions into a shared, version-controlled asset that ensures consistent behavior across all teams.

Directives as Code

Build a continuous improvement loop by formalizing best practices and contributing knowledge back to a shared repository.


Systematized Learning

Scalable AI workflow, implemented through our expert-led platform and mentorship.


What Will You Gain?

AI coding tools have changed how developers work, yet most engineering organizations struggle to scale beyond individual productivity. Tikal’s Agentic SDLC solution introduces a unified platform and methodology that embeds AI agents into your software lifecycle through architectural implementation, hands-on workshops, and direct team enablement, turning experimentation into a governed and repeatable process that accelerates delivery.

Governed AI for High-Velocity Engineering

Our process is designed to embed the Agentic SDLC into your team's DNA. We begin with a discovery session to select a real-world use case from your projects. Then, through a series of hands-on workshops, we train your developers, QA, and DevOps on the methodology using the spec-kit CLI. The process culminates in direct, on-site mentorship, where our experts work with your teams on their live sprint tasks, ensuring the new, governed workflow becomes a lasting habit.

How Does the Process Work?

Tikal’s Agentic SDLC solution is a complete platform and methodology for integrating AI into your software lifecycle. Through expert workshops, architectural implementation, and hands-on mentorship, we help your teams adopt the agentic-sdlc-spec-kit CLI and a governed workflow that transforms isolated AI experimentation into a scalable, high-velocity development process.

Scale AI Development with Tikal’s Agentic SDLC Solution

Agentic SDLC is Tikal’s comprehensive solution for operationalizing Governed AI for High-Velocity Engineering. It provides the technology, structure, and expert guidance your teams need to move from fragmented AI experimentation to a consistent, high-velocity workflow.

What We're Talking About?

The solution is built on the agentic-sdlc-spec-kit CLI, an AI Assistant-integrated tool that orchestrates the workflow with commands like /specify and /plan. It uses LiteLLM for centralized model control, and invokes autonomous agents such as All-Hands or PR-Agent for delegated tasks. The team-ai-directives repository anchors rules, personas, examples, and shared context that guide consistent AI behavior across teams.

Which Technologies Are Involved?

Agentic SDLC for AI-Governed Development

Transform your data into actionable intelligence with Tikal’s governed, scalable Agentic RAG solution.


Let’s talk and build Agentic RAG systems that bring your data to life.


Sounds good?

Enable your systems to retrieve and reason with relevant information in real time.

From Data to Context

Tracing, evaluation, and policy controls ensure safe and transparent AI operations.


Governance You Can Rely On

 Tikal’s squad works alongside your engineers, co-building and transferring operational knowledge.


Collaboration in Action

 Integrated with your tools, identity, and cloud environment, no vendor lock-in.

Tailored to Your Stack

Our structured process turns experiments into maintainable, production-grade systems.

From Pilot to Production

Architecture evolves with your data, usage, and business growth.

Scalable by Design

A scalable, governed RAG solution that connects knowledge, performance, and real-world impact.

Tikal’s Agentic RAG solution helps engineering teams turn data into reliable, actionable intelligence. We use a structured, hands-on approach to design RAG systems that reason, retrieve, and act securely within your environment, building production-ready assistants that deliver measurable value and scale with your organization.

Agentic RAG - Make Your Data Work for You

During the intro sessions, we work closely with your team to ask the right questions about your data, use cases, and goals. Together, we define what success looks like, identify challenges, and plan the right approach for implementing an Agentic RAG solution that fits your workflows and environment.

The Tikal Squad then joins forces with your team, acting as an integral yet independent unit. Squad members are selected based on the specific expertise required for the task, covering areas like architecture design, retrieval strategy, and governance. Tikal’s squad will also share all the relevant knowledge required for your team to continue thriving.

Tikal’s Agentic RAG solution combines retrieval, reasoning, and governance to turn data into reliable, actionable intelligence. Our scalable and secure approach helps engineering teams design production-ready AI systems that operate transparently and grow with your organization.

Build Your Agentic RAG System with Tikal

Agentic RAG combines retrieval-augmented generation with agentic capabilities like planning and reasoning. 
With Tikal’s guidance, your team designs assistants that can dynamically access data, understand context, and perform tasks end-to-end. 
This turns static knowledge into a living system that supports both engineering operations and product intelligence.

What We’re Talking About?

Tikal tailors the Agentic RAG stack to your goals and infrastructure. 
We implement orchestration frameworks such as LangGraph, LangChain, or LlamaIndex, integrate LLMs from providers like OpenAI, Anthropic, or Gemini, and connect data using vector or graph databases such as Pinecone or Weaviate. For prompt management and observability we suggest LangFuse and LiteLLM.
Observability, evaluation, and governance are embedded from day one to ensure reliability and transparency.

A user-friendly, scalable data platform creates efficient pipelines, architecture, and catalogs that build a data-driven business. 



Let’s talk and bring your organization’s data to life.

New team members can hit the ground running with a clear, well-documented system.

Streamlined Onboarding

Like a universal remote, it simplifies operations and integrates various tools and processes.

Seamless Integration

It acts as a repository for collective wisdom, safeguarding valuable insights.

Knowledge Preservation

Whether it's with suppliers or within the team, interactions become smoother and more productive.

Efficient Interactions

With less time spent wrestling with processes, teams can focus on what they do best.

Enhanced Productivity

It ensures resources are utilized wisely, contributing to smarter budget management.

Budget Efficiency

When data is properly utilized, there’s a world of benefits to gain. Here are a few prominent examples: 

We all know how important data is to organizations of any size and nature. Still, many companies struggle to turn data into actionable insights that drive growth. A solid data platform can achieve this. After working with many engineering teams, we’ve identified this as a recurring challenge and crafted a solution based on our knowledge and experience.

Turning your data into Action:
Tikal’s Path to Effective Data Platforms

The road to your solid data platform starts here. During the initial intro sessions, we will strategize together, asking critical questions regarding your organization’s goals, data habits, work environments, and plans. This will allow us to adapt our solutions and build a future-facing roadmap for your platform that remains relevant as products evolve and teams grow. 

The Tikal Squad will join your team as an integral yet independent addition. It will be built based on the relevant expertise required for the task. 

Tikal works closely with your team, delivering all the knowledge you need to continue thriving on your data-driven journey.

Tikal’s tech squad can help you maximize your organization's data potential. Our expertise, experience, and broad perspective will turn your collected data into actionable insights, boosting productivity and driving growth.

Build an effective, self-service data platform with Tikal.

A properly-built data platform is a sophisticated, user-friendly system that forms seamless data pipelines and comprehensive data catalogs based on mesh architectures. The platform 
modularizes data, making it easier to discover and utilize valuable insights. It turns complex data structures into more manageable ones, enabling the team to integrate new data sources as needs evolve.

The self-service data platform we’ll help you build empowers stakeholders who aren’t tech-savvy to use it without relying on the R&D team. Integrating tools like Data Build Tool (DBT), AirByte, and Change Data Capture (CDC) turns a data-driven business from aspiration to reality. 

The backbone of a data platform includes technologies like Data Catalogs, DBT, Data Mesh, Data Pipelines, AirByte, and CDC. These solutions work together to create a scalable, efficient platform that can simplify the complex challenges of data processing and analysis.

Make Your Data Platform Work Smarter

Automate ML workflows and scale seamlessly from data preparation to model deployment.


Ready to streamline and scale your machine learning platform?

A fully integrated ML platform covers all stages—from data preparation and model training to deployment and monitoring—automating repetitive tasks and improving productivity

Streamlined Workflow

By creating a unified platform, collaboration between data scientists, engineers, and business stakeholders becomes seamless, ensuring that everyone stays aligned and focused on common goals.

Improved Collaboration

Tikal implements tools for continuous monitoring, tracking both technical and business metrics. This helps identify issues such as model drift early, keeping your system adaptable and accurate in production.

Continuous Monitoring

Our platform is designed to scale with your business, ensuring that as your needs grow, the platform grows with you. Additionally, by automating manual processes and leveraging cloud infrastructure, you’ll reduce costs while maximizing efficiency.


Scalability and Cost Efficiency

By partnering with Tikal to implement your ML platform, your organization can achieve:

Machine learning (ML) is transforming industries, but getting models into production presents unique challenges. After working with many engineering teams, we’ve identified recurring issues with fragmented workflows, scalability, and maintaining model performance. To solve these, we’ve crafted solutions. Tikal’s ML Platform solution optimizes these processes, ensuring security and scalability at every step.

Optimizing Machine Learning Platforms for Efficiency

The journey to an efficient machine learning platform begins here. In the initial strategy sessions, we’ll work closely with your team to ask the right questions about your goals, workflows, and challenges. This helps us shape a tailored roadmap that meets your current needs while staying adaptable for future growth.
The Tikal Squad will integrate with your team as a dedicated, independent unit. The squad will be assembled based on the specific expertise required for your project, ensuring that you have the right mix of skills for success.
Throughout the process, Tikal collaborates closely with your team, sharing all the knowledge and tools necessary to ensure your machine learning platform continues to thrive long after the implementation phase.

Tikal’s ML platform solutions streamline workflows and automate the entire machine learning lifecycle. Our scalable and secure platforms help you manage data, deploy models, and ensure long-term efficiency for your ML projects.

Optimize Your Machine Learning Platform with Tikal’s experts

An ML platform provides the infrastructure needed to manage the entire lifecycle of machine learning projects. From data preparation to model deployment and ongoing monitoring, it simplifies the process, helping your team focus on insights instead of logistics. Tikal’s expertise ensures that both data scientists and developers can collaborate seamlessly, addressing their specific needs while reducing friction between development and operations. With Tikal’s support, you can build a platform that adapts to your evolving needs, ensuring that your models remain reliable and performant.

Tikal implements different tech solutions depending on the specific goals. We use tools like ClearML and Kedro for workflow management, Evidently AI for model monitoring, and Great Expectations for data validation. For scalability, we integrate solutions such as Kubeflow and cloud platforms like AWS, GCP, and Azure, ensuring your machine learning platform grows with your business.

Need an Efficient Machine Learning Platform?

Build Cloud Native Environments that maintain consistency across your infrastructure while reducing setup time and eliminating configuration drift.


Connect with us to transform your cloud infrastructure into a self-managing, scalable environment.


Ensure identical configurations across development, QA, UAT, and production environments, eliminating the "it works on my machine" syndrome

Environment Consistency

Leverage Kubernetes control loops for automatic drift detection and correction, maintaining your desired state effortlessly


Automated Management

Deploy across major cloud providers with configurations adjusted for optimal performance


Multi-Cloud Flexibility

Manage all microservices and configurations through a single repository, simplifying maintenance and updates


Centralized Control

Implement industry best practices for monitoring, logging, security, and high availability right from the start

Production Readiness

Implement a robust process for adding or removing components with version control and automated synchronization


GitOps Workflow

By implementing Tikal's Cloud Native Environment Solution, your organization will benefit from:

Cloud Native Environment Managing multiple cloud environments can be like conducting an orchestra without a score - chaotic and unpredictable. After working with numerous organizations, we've witnessed the challenges of maintaining consistency across development, staging, and production environments. Our Cloud Native Environment solution provides a GitOps-powered implementation that ensures harmony across your entire cloud infrastructure.

Cloud Native Environments

Our implementation begins with a bootstrap cluster, typically running on K3d, which creates a management cluster designed to oversee multiple environment clusters. 
This scalable architecture provides comprehensive capabilities across your infrastructure. Through this architecture, we implement precise control over cloud provider access levels while enabling independent environment management that maintains consistency throughout your systems. The design allows for automated resource provisioning and configuration, alongside continuous synchronization between declared and actual states, ensuring your infrastructure always matches your intended specifications. 
Each environment cluster is designed to manage its specific applications while being overseen by the management cluster, creating a perfect balance of autonomy and control. This approach ensures that while each environment can operate independently, it remains aligned with your organization's overall infrastructure goals and security requirements.

Create consistent, self-managing Cloud Native Environments that eliminate configuration drift and reduce setup time. Transform your infrastructure with automated, GitOps-powered solutions by Tikal's experts.


Cloud Native Environment | Self-Managing Infrastructure Solutions | Tikal

A Cloud Native Environment is a comprehensive Infrastructure as Code (IaC) solution built on our extensive DevOps expertise. We provide the foundation for building and managing your entire cloud infrastructure from the ground up, ensuring it is secure, scalable, and resilient. It embraces cloud-native technologies and Kubernetes control loops to create a highly-available, scalable, and self-managing environment. This solution focuses on 15-factor application principles and production readiness best practices, making it ideal for organizations seeking a robust cloud infrastructure.

Our Cloud Native Environment is built with proven, reliable technologies that work together seamlessly. 
At its core, we use Kubernetes for orchestration and control-loop management, providing powerful cluster management capabilities. 
This foundation is enhanced by ArgoCD, which enables continuous configuration synchronization and drives our GitOps workflows. 
For managing multi-cluster deployments and cloud resource provisioning, we implement Crossplane, while a set of components deployed by Helm Charts implementing standardized application services deployment across all environments. The infrastructure is completed with robust External Secrets and DNS Management systems, ensuring secure and consistent configuration across all clusters.
These technologies work in concert to create a reliable, maintainable, and scalable cloud environment.

Build a Cloud Native Environment

Identify hidden risks in your cloud architecture. Our expert assessment delivers a clear, actionable roadmap to optimize security, reduce costs, and improve reliability.


Let's start with a review and build your roadmap for success.

A prioritized, actionable plan to de-risk your operations and modernize your infrastructure.

A Strategic Roadmap

Identify security vulnerabilities and reliability issues before they cause a major incident.

Uncover Hidden Risks

Gain an unbiased, expert third-party perspective on your architecture and practices.

Objective Expert Analysis

Receive a clear business case to secure buy-in for critical technology and process improvements.


Justify Investments

By conducting Tikal’s Cloud Native Maturity Assessment, your organization will benefit from:

Are your cloud operations truly effective? We provide a comprehensive assessment of your architecture, processes, and tools against industry-standard best practices. Our review identifies critical risks in security, cost, and reliability, delivering a clear, actionable roadmap to build a more resilient and efficient cloud-native foundation.


Cloud Native Maturity Assessment

Our assessment is a collaborative, four-step process. We start with a discovery workshop to understand your business goals and pain points. We then conduct deep-dive sessions with your technical teams, gathering data on your architecture and processes. Our experts analyze this information, benchmark it against best practices, and compile a detailed findings report. We conclude by presenting a strategic roadmap with clear, prioritized recommendations.

How Does the Process Work? 

Identify hidden risks in your cloud architecture with Tikal’s Cloud Native Maturity Assessment. Get a clear, practical roadmap to improve security, reduce costs, and enhance reliability, helping your teams build a stable, well-architected cloud foundation that’s ready to scale.

 Assess and strengthen your cloud maturity with Tikal

This is a strategic review of your entire DevOps and cloud ecosystem. We dive deep into your architecture and operational workflows to provide an objective analysis of your current state. The key deliverable is a strategic roadmap that prioritizes actions to improve security, reduce costs, and accelerate your development lifecycle.


What We're Talking About

Our assessment is technology-agnostic, focusing on your unique environment. Our experts have deep, cross-domain knowledge of all major cloud providers (AWS, GCP, Azure) and the cloud-native ecosystem. We evaluate your specific stack, whether it includes Terraform, Kubernetes, Crossplane, GitLab, GitHub Actions, or Prometheus, benchmarking your implementation and practices against industry standards to provide a comprehensive analysis.

It’s time to cost-optimize your development procedures and embrace the FinOps state of mind.

Ready to optimize your cloud spending?

Implement the FinOps-based process of inform-optimize-operate.

Embed the CNCF common process

This is the goal of FinOps. Improving the cost-effectiveness of your cloud management will ensure your budget spending makes sense. 

Reduced Cost

The development team will gain a clear understanding of where and how cloud budgets are being spent. This new mindset can be implemented across the organization.

Financial Visibility

Ensure resources are efficiently utilized and aligned with your business priorities.

Strategic Resource Allocation

Empower your teams to make informed decisions based on data and predictive analytics, ensuring your cloud spend is always optimized for future needs. 

Data-Driven Decision Making

Cost optimization is a critical challenge for companies. When development processes moved to the cloud, so did organizations’ budgets, and FinOps was born. After working with many DevOps and engineering teams, we’ve identified this as a recurring challenge and have crafted a solution to address it. We help you create a structured strategy for navigating the complexities of cloud cost management, ensuring a balance between cost efficiency and effective cloud usage, while leveraging cloud-native technologies.

Cloud Native FinOps: It Pays To Optimize Your Cloud Costs

Our process always begins with a FinOps Health Check, a targeted assessment of your current cloud infrastructure and spending. We identify your top cost drivers and uncover immediate savings opportunities. Based on these findings, we develop a customized action plan that incorporates resource tagging, prediction strategies, and architectural improvements.

Tikal will guide your organization toward a more cost-effective cloud model. As always, this process is collaborative, ensuring your team is involved and gains the necessary tools and knowledge for ongoing management and optimization of your cloud costs.

Tikal’s FinOps experts optimize your cloud costs using a structured solution and help the team adopt a new mindset that considers and balances innovation and spending.

Optimize your cloud costs with Tikal's FinOps expertise.

Cloud Native FinOps is more than just managing existing cloud costs, it’s about creating a culture of financial accountability from day one. We help you design and build cloud architecture that is cost-effective by default. Tikal helps your teams implement the FinOps framework, ensuring seamless collaboration between finance, engineering, and operations to optimize spending, align resource allocation with business goals, and foster informed, data-driven decisions..

The ongoing FinOps process of Inform-Optimize-Operate requires various tools and technologies. Tikal's approach is to integrate with your current tools and technologies rather than rely on a single solution. This flexible and customized strategy helps manage your cloud costs more efficiently. 
During the Inform phase, we monitor and track cloud expenditures, providing visibility into spending patterns through dashboards and alerts. 
The Optimize phase is focused on identifying cost reduction opportunities by analyzing usage patterns and using right-sizing techniques to adjust resource allocations to actual needs. 
Finally, in the Operate phase, we automate cost management tasks to ensure ongoing efficiency, using custom scripts to detect and manage unused or underutilized resources and strategies like reserved instance planning to optimize costs further. 
Instead of focusing on specific tools, Tikal emphasizes embedding FinOps methodologies into your existing workflow and technologies, resulting in a more cost-effective and efficient cloud environment.

What Methodologies Are Involved?

Optimize your cloud costs

Empower developers with a self-service platform, accessible via a central portal and a powerful CLI, to automate workflows and accelerate the SDLC.

Let's build a platform that empowers your developers.

Empower developers with the choice of a web portal for visibility or a powerful CLI for automation.


Flexible Interaction

Developers can innovate faster without getting bogged down in infrastructure and operational details.

Increased Productivity

Streamline development processes and reduce the complexity of managing the entire software delivery lifecycle.

Operational Efficiency

Provide a secure and governed environment by embedding compliance into the platform's "golden paths."


Enhanced Security

Abstract away underlying complexity, allowing developers to focus on application logic, not infrastructure.


Reduced Cognitive Load

By implementing Tikal’s Platform Engineering solution, your organization will gain:

Free your developers from infrastructure complexity so they can focus on innovation. We build self-service Internal Developer Platforms (IDPs) that automate workflows and codify best practices into "golden paths," accessible through the interfaces your engineers love to use.

Platform Engineering

Our process starts by understanding your developers' daily workflows to identify friction points. Our Tikal Tech Squad then designs a tailored IDP, determining the optimal mix of interfaces, whether a portal, a CLI, or both. We codify best practices into this unified platform, ensuring it empowers, rather than restricts, your team's productivity.

Build a self-service Internal Developer Platform (IDP) with Tikal. Automate development workflows, standardize best practices into clear golden paths, and enable your teams to work faster and with fewer dependencies through a central portal and a simple CLI interface.

Form a comprehensive, self-service developer platform with Tikal

We build a central Internal Developer Platform that provides a consistent set of capabilities accessible through multiple interfaces. This includes a user-friendly web portal for discovery and guided workflows, and a powerful command-line interface (CLI) for automation and developers who live in the terminal.

The platform is built on a foundation of proven, cloud-native technologies. We use Kubernetes for orchestration and Crossplane for Infrastructure as Code (IaC). This is enhanced by ArgoCD for GitOps workflows, and a set of Helm Charts to standardize application deployment, creating a reliable and maintainable platform.

Move beyond simple alerts. We build true observability solutions that unify logs, metrics, and traces to rapidly diagnose and resolve issues in complex systems.

Let's build a system you can truly understand.

Go from "what's wrong?" to "why is it wrong?" in minutes by correlating metrics, logs, and traces.


Rapid Root-Cause Analysis

Leverage AIOps to automatically identify unusual patterns and potential issues before they impact your users.


Proactive Anomaly Detection

Gain a clear understanding of how requests flow through your entire distributed architecture.


Deep System Insight

Proactively identify and fix weaknesses in your system before they cause major outages.

Improved System Reliability

Reduce the time engineers spend firefighting, allowing them to focus on building new features.

Enhanced Developer Productivity

By implementing Tikal’s Monitoring & Observability solution, your organization will gain:

In today's complex, distributed systems, knowing that something is wrong is no longer enough. Our approach elevates you from simple monitoring to true observability. We empower your teams not just to see alerts, but to ask any question of your system and rapidly understand why issues are happening.

Monitoring & Observability

Our process begins with assessing your current monitoring capabilities. We then work with your team to implement a comprehensive instrumentation strategy using OpenTelemetry, ensuring high-quality data collection across your services. We deploy and configure the necessary backend tools to store and correlate this data, building dashboards and query capabilities that enable true investigation. Our goal is to foster an observability culture, empowering your team with the skills to explore data and understand system behavior.

Move beyond basic monitoring with Tikal. Combine logs, metrics, and traces into one clear view, understand what’s happening and why, and shorten time to resolution using open standards like OpenTelemetry, Grafana, and Prometheus.

Build a complete observability setup with Tikal

We help you build a holistic observability strategy. This means moving beyond monitoring for known failure states and equipping your system with the ability to be debugged from the outside. We unify the three pillars of observability: logs, metrics, and distributed traces, to provide the context needed for deep, investigative analysis. This rich, correlated data provides the foundation for advanced capabilities like AIOps.

We build a robust, vendor-neutral observability pipeline using open standards like OpenTelemetry for universal data collection. This feeds into a powerful stack including Prometheus for metrics, Grafana for visualization, Loki for log aggregation, and Tempo/Jaeger for distributed tracing, giving you a complete and correlated view of your system's behavior.

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Agentic SDLC for AI-Governed Development

Agentic RAG - Make Your Data Work for You

Need an Efficient Machine Learning Platform?

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Squad Teams – Cross-Domain Expertise for Your Exact Needs

Custom-Built Team Specialists selected to meet your exact goals

Seamless Collaboration Professionals who integrate smoothly with your team

Aligned Workflow Supporting every phase from planning to impact

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