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services
AI Consulting
Strategy & Innovation
We define clear AI use cases, success metrics, and compliance boundaries.
Architecture is aligned with your tech stack, governance model, and evaluation framework before development begins.
AI becomes structured, not experimental.
Architecture is aligned with your tech stack, governance model, and evaluation framework before development begins.
AI becomes structured, not experimental.
Data & AI Engineering
Scalable Data & Models
We design secure, modular agentic architectures integrated into scalable infrastructure.
Systems include observability, monitoring, cost controls, and production-grade orchestration.
Systems include observability, monitoring, cost controls, and production-grade orchestration.
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AI Consulting
Strategy & Innovation
We define clear AI use cases, success metrics, and compliance boundaries.
Architecture is aligned with your tech stack, governance model, and evaluation framework before development begins.
AI becomes structured, not experimental.
Architecture is aligned with your tech stack, governance model, and evaluation framework before development begins.
AI becomes structured, not experimental.
Rapid AI Prototyping
Prototype to Production
We build proof-of-concept systems with reliability benchmarks and evaluation pipelines.
Every prototype includes quality thresholds and a clear path to production.
Built to move from prototype to deployment.
Every prototype includes quality thresholds and a clear path to production.
Built to move from prototype to deployment.
Data & AI Engineering
Scalable Data & Models
We design secure, modular agentic architectures integrated into scalable infrastructure.
Systems include observability, monitoring, cost controls, and production-grade orchestration.
Systems include observability, monitoring, cost controls, and production-grade orchestration.
Custom Agentic Solutions
Autonomous System Design
We build custom agentic foundations tailored to how your business operates.
Modular systems allow controlled scaling with full governance and cost transparency.
You own your data.
Modular systems allow controlled scaling with full governance and cost transparency.
You own your data.
Tailored AI Integrations
Enterprise AI Deployment
We integrate AI agents directly into your existing systems, ERP, CRM, product platforms, and internal tools.
AI becomes embedded, compliant, and measurable within real workflows.
AI becomes embedded, compliant, and measurable within real workflows.
AI Agent Maintenance
Training & Support
Production is only the beginning.
We provide monitoring, performance metrics, retraining pipelines, and structured support models, from active partnership to knowledge transfer with defined SLAs.
We provide monitoring, performance metrics, retraining pipelines, and structured support models, from active partnership to knowledge transfer with defined SLAs.
How we build and deploy your AI Agents
Our AI Agent Framework (ARC) follows five structured phases, not to reinvent the wheel, but to ensure a precise fit.
PHASE
1
Assess
Identifying the most valuable & high-ROI AI use cases
We assess where agentic solutions can generate measurable value and real ROI inside your operations.
Instead of abstract ideation, we evaluate real business processes with clear ownership, defined data sources, and quantified ROI.
We prioritize based on repeatability, frequency, risk exposure, digital data availability, and ROI clarity.
Instead of abstract ideation, we evaluate real business processes with clear ownership, defined data sources, and quantified ROI.
We prioritize based on repeatability, frequency, risk exposure, digital data availability, and ROI clarity.
OUTCOME
You receive a validated and prioritized agentic AI roadmap with defined ownership and measurable ROI, ensuring your AI investment starts with strategic clarity.
PHASE
2
Ingest
Translating human expertise into agentic architecture
AI cannot replace expertise. It must be built on it.
We tailor our ARc framework to your domain logic, operational constraints, and internal processes.
Your team of experts defines boundaries and reviews flows. We adapt system architecture to your tech stack, integrations, and governance requirements.
We tailor our ARc framework to your domain logic, operational constraints, and internal processes.
Your team of experts defines boundaries and reviews flows. We adapt system architecture to your tech stack, integrations, and governance requirements.
OUTCOME
You receive a technically defined Agent Requirements Document and architectural blueprint, ready for engineering.
PHASE
3
Validate
Validate before deploy
We build a functional end-to-end system in a controlled environment and define measurable performance baselines for accuracy, latency, and cost.
Together with your domain experts, we test real-world scenarios, challenge edge cases, and validate failure handling. Your team reviews the agent’s behavior, experiments with real use cases, and validates outputs internally. Approval is not assumed, it is structured and required before release.
Only once reliability thresholds are met, and stakeholders are aligned does the system move forward.
Together with your domain experts, we test real-world scenarios, challenge edge cases, and validate failure handling. Your team reviews the agent’s behavior, experiments with real use cases, and validates outputs internally. Approval is not assumed, it is structured and required before release.
Only once reliability thresholds are met, and stakeholders are aligned does the system move forward.
OUTCOME
A validated functional prototype, measurable reliability benchmarks, and the first version of your agent Operating System (aOS), along with a defined roadmap to production deployment. Risk is quantified before scaling.
PHASE
4
Deploy
Deploying Agentic AI systems into live environments
This is where many AI initiatives stall. This is where we deploy.
We integrate the agentic solution into your live environment under structured production controls.
We implement versioned releases, environment separation (dev/staging/production), access control, logging, monitoring, and structured agent training under human supervision.
Agents are released only once production-grade thresholds are achieved.
We integrate the agentic solution into your live environment under structured production controls.
We implement versioned releases, environment separation (dev/staging/production), access control, logging, monitoring, and structured agent training under human supervision.
Agents are released only once production-grade thresholds are achieved.
OUTCOME
You gain a live, production-grade agentic AI system operating within your infrastructure, versioned, compliant, monitored, and delivering measurable business impact.
PHASE
5
Improve
Scaling and Optimizing Agentic AI Infrastructure
Production deployment is not the end; it is the beginning of optimization.
We establish a structured improvement cycle with performance monitoring, anomaly detection, feedback loops, and expansion into new use cases.
Maintenance is governed through Agent Level Agreements (ALAs).
We establish a structured improvement cycle with performance monitoring, anomaly detection, feedback loops, and expansion into new use cases.
Maintenance is governed through Agent Level Agreements (ALAs).
OUTCOME
You own a continuously improving, scalable agentic capability, not a static solution. Your agent Operating System grows as a strategic asset.
WHAT YOU OWN
Unlike other AI platforms, YOU OWN YOUR OWN INFRASTRUCTURE.
With Linnify, you stay in control.
Data stays inside your infrastructure
Agent orchestration runs in your environment
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Frameworks integrate directly into your stack
IP remains underyour control
We tailor and deploy.
You retain control.
How fast can we deploy?
When acceptance criteria are clear and architecture is defined, agentic systems can move to controlled production in weeks, not quarters.
Speed comes from experience and structure.
Speed comes from experience and structure.
FAQ
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