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 and the Harness Platform.

Let’s make sure AI is helping your teams move faster, not creating problems you’ll debug later. 
Schedule a consultation to build your Harness-powered Agentic SDLC foundation.

Interested?

Developers remain accountable owners of architecture and quality, while AI acts as a fast, guided collaborator.

Developer as Orchestrator

Every task starts with a clear, version-controlled Mission Brief instead of vague prompts.

From Intent to Specification

Clear separation between sync collaboration for complex problems and async delegation for execution at scale.


Dual Execution Loops

Enforce code quality and security policies through automated Harness pipeline execution loops.

Harness Governance and Control

AI instructions become shared, versioned assets that evolve with the team.

Directives as Code

Successful patterns are captured during delivery and fed back into the organization as reusable knowledge.


Systematized Learning

A governed, scalable AI development workflow embedded into real team delivery.

What Will You Gain?

AI coding tools changed how developers work, but most organizations still struggle to turn personal AI gains into team-level impact. 
Tikal’s Agentic SDLC is a structured, outcome-driven solution for embedding AI into real software delivery. Operationalizing Tikal’s Twelve-Factor methodology and orchestrated by Harness,It enables engineering teams to move from scattered experimentation to a governed, repeatable, and measurable development system.

Governed AI for High-Velocity Engineering

The Agentic SDLC Launchpad runs as a focused five-week process designed to establish a strong foundation for adopting Agentic SDLC across teams.

How Does the Process Work?

Tikal’s Agentic SDLC solution helps engineering teams adopt governed AI through a structured Launchpad and scale further with a Harness-powered platform. Teams move from isolated AI usage to a shared, measurable, and high-velocity development system.

Scale AI Development with Tikal’s Agentic SDLC & Harness Solution

We assess current AI usage, friction points, and trust levels. Together we establish baseline metrics, adapt the methodology to your stack and create the initial team-ai-directives repository using real code scenarios.

Adaptation (Week 1)

Scan, Baselining &

Three intensive hands-on sessions where teams practice the Agentic SDLC using customized exercises. Topics include Developer as Orchestrator, sync vs async execution, and Directives as Code.

(Week 2-3)

Hands-On Workshop

We work alongside your team during live sprints. Developers apply the methodology on real tasks while we mentor workflows and help capture successful solutions into shared assets.

(Weeks 4–5)

Embedded Execution

We measure improvement against the original baseline, validate adoption, and transfer ownership of the workflow, assets, and governance model to your internal AI lead, including a clear roadmap for scaling.

(Week 6)

Validation & Handover

Agentic SDLC is Tikal’s end-to-end solution for operationalizing governed AI across engineering teams, based on Tikal’s Twelve-Factor Agentic SDLC methodology developed through hands-on work with engineering teams. It replaces ad-hoc prompting with a clear methodology, shared assets, and working habits that scale across teams.
The journey typically starts with the Agentic SDLC Launchpad,  a structured foundation phase that establishes shared workflows, governance, and core assets. As teams mature, the solution extends into the Agentic SDLC Subscription Program built on Harness, enabling continuous enterprise access, deeper pipeline orchestration, automated CI/CD quality gates, and organization-wide scale.
For those interested in going deeper, the full Twelve-Factor Agentic SDLC methodology is available as a [practical guide](https://www.experts.tikalk.com/download-thetwelve-factoragentic-sdlc/).

What We're Talking About?

The Launchpad is built around a shared team-ai-directives repository, which is created during the engagement and serves as the single source of truth for how AI is used across the team. It captures rules, personas, examples, and shared context that guide consistent AI behavior and support the Agentic SDLC workflow inside developers’ existing IDEs. To operationalize this context inside daily workflows, we integrate Tikal’s open source agentic-sdlc-spec-kit CLI as an automated engineering harness. At scale, this framework seamlessly integrates into the enterprise Harness Platform, leveraging its powerful CI/CD pipelines, policy engines (OPA), and automated release gates to govern autonomous agents, LLM toolchains, and API gateways securely.

Which Technologies Are Involved?

Agentic SDLC & Harness for AI-Governed Development

Bootstrap high-priority custom builds and deploy rapid MVPs without stopping your product delivery. We build, you keep shipping.


Let’s deliver your custom builds and MVPs while your team keeps shipping.

Ready to build the initiatives that keep getting pushed?

By offloading custom internal builds and infrastructure tasks to a dedicated agentic squad.

Reclaim 40% of your engineering capacity

Your core team keeps shipping features every sprint while we build and modernize your secondary layers.


100% Uninterrupted Product Focus

Eliminate the resource deficit that usually kills in-house development and migration initiatives.


De-Risked "Build" Decisions

We isolate, clean, and build targeted code modules to seamlessly hook into modern infrastructures.


Surgical Component Modernization

Deliver production-ready MVPs and complex infrastructure extensions in months instead of years.


Accelerated Time-to-Market

We deliver a running baseline with AI-generated docs and tests, ensuring your team fully owns the codebase.

Seamless Handover & Ownership

Choosing to build rather than buy custom software, core components, or modern MVPs is often the right strategic decision. But when your team is committed to the core roadmap, critical initiatives get pushed back. We bootstrap the initiative, bring it to a running MVP, then hand it back to your engineering team.

AI-Powered Build-as-a-Service

Our structured, phased process is designed to deliver high-priority builds and modern baselines, while keeping your internal engineering team completely focused on your core roadmap.

Tikal's AI-Powered Build-as-a-Service helps engineering teams bootstrap strategic initiatives, deliver running MVPs, and keep product delivery moving without slowing the roadmap.

AI-Powered Build-as-a-Service | Tikal

Our architects use AI to scan your codebase, map technical dependencies, and expose velocity killers. We design a targeted evolutionary target architecture for your custom build or MVP and encode all rules into the agentic-sdlc-spec-kit.


System Scan & Architectural Design

Our engineers isolate a single high-friction module or prototype and run a live development sprint. AI generates behavior-anchored tests before transformation. Refactoring agents handle logic extraction, delivering a production-ready upgraded component or MVP core.

The "Zero-Stop" POC

A dedicated Tikal Agentic Squad bootstraps the initiative from architecture to a running MVP. Once the solution is validated, we hand it back to your engineering team so they can continue building on top of a production-ready foundation.

Continuous Squad Execution

Every organization has vital projects like internal platforms, framework upgrades, or new MVPs that constantly compete with customer-facing priorities. Tikal’s Agentic Squad gets these blocked initiatives off the ground, building a production-ready baseline so your team can seamlessly take over the codebase and continue developing without losing product velocity.

What Are We Talking About?

The solution is built on the agentic-sdlc-spec-kit and the team-ai-directives repository, encoding architectural governance as strict, version-controlled AI directives. We deploy AI-powered static analysis for system mapping, automated refactoring agents for code transformation, and AI-generated test suites for 1:1 logic parity. Every custom build runs through strict evolutionary design, fully integrated into your existing CI/CD pipeline on AWS, GCP, or Azure.

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.

Go beyond cost visibility. Actively reduce AI spend through continuous engineering optimization.

Let’s reduce AI spend without slowing your engineering teams.


Ready to optimize?

Understand spend, token usage, prompt cache efficiency, and latency across every model, team, application, and agent.


Unified Cost Visibility

Compress context and reduce unnecessary output tokens through the gateway, without requiring application rewrites.


Token Reduction Without Rewrites

Reserve premium models for complex reasoning and route routine workloads to faster, lower cost alternatives.


Cost Aware Model Routing

Control model access with scoped keys, budgets, alerts, and kill switches for every team and agent.


Spend Guardrails

Move high volume, repetitive, or privacy sensitive workloads to self hosted SLMs when it makes economic sense.

Local Model Offloading

Continuously tune routing, context compression, prompt cache efficiency, guardrails, and model selection as usage and provider economics change.

Ongoing Optimization

Continuously lower AI spend through engineering optimization, without slowing product delivery.


As AI usage spreads across applications, agents, teams, and providers, costs can grow faster than engineering leaders can control them. Monthly invoices show what was spent, but not how to reduce it. Tikal deploys and manages an engineering optimization layer that actively reduces AI costs without requiring application rewrites or slowing product delivery.


Actively Reduce AI Costs at the Engineering Layer

The AI Cost Management engagement begins with a focused 30 day deployment designed to establish visibility, control, and active cost reduction, followed by ongoing optimization.


Tikal reduces AI spend through model routing, context compression, guardrails, local inference, and continuous engineering optimization.


AI Cost Management for Engineering Teams | Tikal

We deploy the centralized gateway and route AI traffic through it. Together, we verify application integrity and establish a baseline for usage, cost, latency, and prompt cache efficiency.


(Week 1)

Interception and Baseline 

We launch real time dashboards, scope model access, set budgets, and configure alerts and kill switches to bring AI usage and spend under control across teams and agents.


(Week 2)

Visibility and Control 

We reduce token consumption through context compression, prompt cache optimization, and output control, while routing routine workloads to lower cost models and reserving frontier models for deep reasoning.


(Weeks 3-4)

Active Optimization 

We continuously tune routing, compression, guardrails, and model selection as workloads and provider economics change, keeping AI costs under control without slowing product delivery.


Continuous Optimization

We route AI traffic through a centralized, model agnostic gateway inside your environment. This creates one controlled path for measurement, context compression, prompt cache optimization, model routing, budgets, and guardrails. From there, we reduce unnecessary token usage and route routine workloads to lower cost models, while reserving frontier models for deep reasoning.


Our modular open source stack uses LiteLLM for centralized model routing, Headroom for context compression, and Grafana for spend, token usage, prompt cache efficiency, and latency monitoring. Where relevant, we add automated guardrails, agent steering, and local inference through Ollama or vLLM.


AI Cost Management for Engineering Teams

Move from vibe coding to a governed evaluation system for production AI.


Let’s embed a real evaluation system into your team and start measuring what matters.


Sounds right?

Replace ad-hoc prompting with strict binary specs that define success before writing a single line.


From Vibes to Engineering Contracts

Version-controlled Gold Sets become the definitive ground truth for your agent’s capabilities and behavior.


Test Data Treated as Code

Fast structural checks and LLM-as-a-Judge semantic graders catch what no unit test ever could.


Layered Graders, Zero Blind Spots

Failed traces flow directly into your test suite, so the system grows smarter with each incident.


Every Production Bug Becomes Memory

Evaluate how your agent thinks, not just what it says, across every tool call and step.


Trajectory Visibility, Not Just Output

No prompt change reaches main unless the full evaluation pipeline turns green.


CI/CD Quality Gates for AI

A governed, measurable evaluation system that catches agent failures before they reach production.


Developers know TDD (Test-Driven Development). But when your agent operates in an infinite natural language input space, traditional testing breaks. Tikal’s Eval-Driven Development Launchpad embeds a structured evaluation architecture into your team, moving from subjective “vibe checks” to engineering contracts, automated graders, and production observability. Debug the Spec, not the code.


The Eval-Driven Development (EDD) Launchpad

The EDD Launchpad runs as a focused 5 to 6 week engagement.


How Does the Process Work? 

Tikal’s Eval-Driven Development Launchpad gives engineering teams the methodology, tooling, and habits to test AI agents like real software. Move from vibe coding to governed evaluation pipelines, version-controlled datasets, and continuous production observability in 5 to 6 weeks.


The Eval-Driven Development Launchpad for AI Agent Reliability | Tikal

We map current AI testing practices, review 50 to 100 real production traces to identify recurring failure modes, and establish your Escape Rate baseline. We scaffold the evaluation infrastructure and observability stack ready for the work ahead.

Scan & Baselining 

 Four hands-on sessions covering engineering contracts, the Evaluation Pyramid, trajectory diagnostics, RAG decomposition, and scaling human judgment via Annotation Queues, all built around your team's actual agents.


(Weeks 2-3)

Workshop 

Tikal embeds into a live sprint alongside your team. We build the first Gold Set, write and wire graders into your CI/CD pipeline, and configure production observability to sample live traffic automatically.

(Weeks 4-5)

Embedded Execution 

We measure the new Escape Rate against the original baseline, validate adoption across the team, and transfer full ownership of the evaluation stack, datasets, and observability dashboards to your team.

Validation & Handover 

The EDD Launchpad is a fixed-scope, 5 to 6 week engagement that gives engineering teams the methodology, tooling, and habits to test AI agents like real software. It replaces ad-hoc prompting with version-controlled datasets, layered graders, and a continuous production feedback loop that turns every failure into institutional memory.


The Launchpad integrates with your existing observability stack. We work with platforms like LangSmith, Braintrust, or Promptfoo for full trajectory visibility, and LiteLLM for centralized model routing during evaluations. The grading layer is built on standard frameworks like Pytest or Jest. All datasets, graders, and directives live in Git, wired into your CI/CD pipeline via GitHub Actions or GitLab CI.

Which Technologies Are Involved? 

Eval-Driven Development Launchpad for AI Teams

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

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

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.

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Need an Efficient Machine Learning Platform?

Squad Teams – Cross-Domain Expertise for Your Exact Needs

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Aligned Workflow Supporting every phase from planning to impact

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