CUSTOM AGENTIC AI

READY FOR PRODUCTION FAST

DEPLOYED WITH CONFIDENCE

Helping product engineering teams deploy scalable and compliant agentic solutions to production through proven frameworks

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Built for tech scale-ups that

need measurable results,

control, and compliance.

Secure. Transparent. Scalable.
No side quests. No brittle low-code workflows. No uncontrolled agents.

TRUSTED BY

Most teams can build a prototype. Few can pass internal compliance review, survive UAT, and run reliably in production.

That’s where friction begins, and where we operate.

Our AI Agent framework (ARC)

SOME OF OUR AGENTIC SOLUTIONS

We design and deploy production-grade agentic infrastructure using our proprietary AI Agent framework (ARC), so you own your data, your agents, and your IP.

Document data extraction

Back-Office Automation & Document Heavy Processes

AI agents that extract, understand, and validate data from documents such as invoices, contracts, and forms.

Built with AI document processing, entity matching, and confidence-based validation systems.

Result: reduced manual data entry & operational costs, fewer errors, faster document processing at scale

Find out more

Compliant AI content generation

Marketing & Content Operations

Agentic systems generate structured content within predefined brand and compliance guidelines.

Built with approval layers, observability, and prompt governance to ensure consistent outputs.

Result: scalable content production without compromising brand or compliance.

Find out more

Data extraction & ontology mapping

Data Enrichment & Market Intelligence

AI agents that research, extract, and structure data from scattered sources across the web and documents.

Built with multi-agent orchestration, skill-based research, and ontology-driven data modelling.
‍
Result: faster creation of structured datasets, consistent data classification, traceable data, scalable knowledge base generation

Find out more

Conversational analytics for BI workflows

Business Intelligence & Decision Support

Agentic systems that combine semantic data discovery, domain-aware analytics, and built-in guardrails to ensure correct results.

Built with conversational AI, analytical skill systems, and data querying engines.

Result: faster access to insights, reduce errors in data interpretation & reporting, improved decision-making

Find out more

Numbers

Proven Impact

These numbers come from agentic solutions deployed in real production environments

>95%

average accuracy across agents deployed in production

100%

control over your agentic infrastructure

industries with proven solutions deployed

Stop running AI pilots. Start deploying to production.

If your AI initiatives feel like side projects, the problem is not the model, it’s the architecture, evaluation, and deployment process.

Let’s design agentic systems that integrate into your system with full control, traceability, and measurable reliability.

Schedule a technical discovery call

our services

We combine strategy, engineering, and long-term governance.

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.

Explore our framework

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.

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.

See our approach

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.

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 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.

AI Consulting

Strategy & Innovation

Explore our production-readiness framework

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.

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.

See our architecture approach

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.

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 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 BUILD EVERYTHING BASED ON OUR
‍AI AGENT FRAMEWORK (ARC)

Goal

Identify and prioritize agentic opportunities with measurable ROI and high feasibility.

Output

Agentic opportunity use-case (business requirements)

Goal

Translate Business Requirements into detailed functional, product, and technical specifications.

Output

Agent Requirements Document (Product & technical requirements)

Goal

Validate end-to-end system feasibility under controlled conditions.

Output

Functional feasibility validation (prototype)

Goal

Deploy agentic system into live operational environment under production controls.

Output

Production version release

Goal

Improve reliability, reduce intervention cost, and expand into additional opportunities.

Output

Continuous training & development

TESTIMONIAL

We sought a company with exceptional talent and minimal turnover since investing in a company is truly a partnership. It was important to us that the company we selected had a great culture, as this is a crucial factor in retaining talent. That is why we chose Linnify.

Ameeta Jain

CEO Readability

TESTIMONIAL

Linnify helped us build AI workflows for invoice processing and transaction reconciliation. The system achieved 90–95% detection accuracy and processes documents within seconds. Most importantly, they focused on outcomes and delivered exactly what was promised.

Matyas Albert-Nagy

CTO

TESTIMONIAL

Linnify helped us turn GentrAIner into a working AI-powered experiential internship platform. Their team combined strong technical expertise with a deeply collaborative approach, and became a true partner in bringing my vision to life.

Aaron Meyers

CEO

TESTIMONIAL

The conversational agent not only improved how our customers navigate technical product data but also gave us new insights into where our materials needed refinement. It has been a game-changer for customer satisfaction and internal efficiency.

Marketing Director

TESTIMONIAL

Collaborating with Nomore Studio was inspiring. They didn’t just follow our brief — they expanded it, offering new ideas for illustration, branding, and digital storytelling. The result was a cohesive, bold identity that really captures the essence of our products.

Casey Lee

Chief Operations Officer

What is production-grade agentic AI?

Production-grade agentic AI refers to multi-agent systems that operate within defined governance frameworks, include human-in-the-loop controls, and are deployed on scalable infrastructure with full observability and traceability.

How do you ensure production-grade reliability?

Linnify ensures production-grade reliability through defined acceptance criteria, dataset baselines, evaluation pipelines, agent metrics, and continuous monitoring.

How do you deploy agentic AI to production?

Deploying agentic AI to production requires:
1. Clear use-case definition and acceptance criteria
2. Dataset baseline creation and evaluation pipelines
3. Reliability benchmarks and agent metrics
4. Observability and monitoring infrastructure
5. Human-in-the-loop control mechanisms
6. Controlled rollout with governance oversight

Who owns the agent infrastructure?

You do. The agent Operating System (aOS), data, logic, and IP remain your proprietary assets.

Can agentic AI be integrated with existing software systems?

Yes. Agentic AI can be integrated with existing ERP, CRM, product platforms, and internal software systems through secure APIs and modular architecture. Production-grade integration includes defined acceptance criteria, data governance controls, observability, and human-in-the-loop mechanisms, ensuring reliable, compliant deployment within your current tech stack.

How do you address compliance and governance?

We implement traceability, access controls, human-in-the-loop mechanisms, documented architecture, and transparent observability from day one.

What proof is required before deployment?

Clear use cases, measurable success metrics, validated reliability thresholds, and defined evaluation pipelines.

CUSTOM AGENTIC AI

READY FOR PRODUCTION FAST

DEPLOYED WITH CONFIDENCE

Assess

Ingest

Validate

Deploy

Improve

What is production-grade agentic AI?

How do you ensure production-grade reliability?

How do you deploy agentic AI to production?

Who owns the agent infrastructure?

Can agentic AI be integrated with existing software systems?

How do you address compliance and governance?

What proof is required before deployment?