Company structure

See how Taleruvi would fit your hiring process and customer-controlled environment.

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AI under customer control

Explainable automation and auditability

Customer-controlled deployment

Dedicated deployment boundary

Privacy-first architecture

Engineering principles

We build workflow-driven AI software for organizations that require flexibility, transparency, and control over their data and infrastructure.

About

QUILONS

We're looking for engineers, designers, and GTM talent who care about privacy, transparency, and building software that respects users.

Join Us

We are looking for engineers and others who care about privacy, transparency, and building software that respects users and their data.

Join us

We are building a broader platform for workflow-driven AI systems. Taleruvi is the first product on this foundation. As the platform matures, we aim to bring the same principles—flexibility, control, and compliance-aware execution—to other operational domains beyond hiring.

Platform vision

What we build

Why QUILONS exists

Explore workflow-driven hiring automation with customer-controlled deployment, AI choice, human oversight, and traceability.

See Taleruvi in your environment

A condensed view of how common capabilities compare. The paradigm difference above is the main differentiator.

Feature comparison (summary)

Most hiring platforms manage candidate pipelines. Taleruvi executes configurable hiring workflows inside your environment.

Taleruvi vs 

Traditional ATS

The main difference is architectural: pipeline management vs workflow execution.

Two different approaches

For organizations with simple, standardized hiring processes, vendor-hosted SaaS requirements, and needs that are met by candidate tracking and pipeline management, a traditional ATS may be adequate. Many established ATS tools offer mature application tracking, integrations, and analytics. This page is intended to clarify where Taleruvi's workflow execution model and customer-controlled deployment offer a different approach.

When a traditional ATS may be sufficient

Taleruvi tends to suit organizations that need one or more of the following: complex or non-standard hiring workflows; regulated industries with strict compliance or data-sovereignty requirements; control over which AI provider is used; customer-controlled deployment; or integration of hiring into broader operational workflows such as onboarding and compliance gates.

When Taleruvi is a better fit

Traditional ATS platforms excel at application tracking, job board and career-page integrations, HR ecosystem integrations (HRIS, background checks), candidate databases, and hiring analytics. Many have been refined over years and offer broad feature sets for standard hiring. Taleruvi does not attempt to replicate every ATS feature; it is focused on workflow-driven hiring and onboarding where process flexibility, AI control, compliance-aware execution, and deployment options matter most.

Where traditional ATS tools are strong

Workflow-based execution model

Compliance-aware workflow gating

Where Taleruvi is structurally different

ATS platforms emerged when hiring software mainly tracked applications through simple hiring stages. Pipelines work well when hiring processes are relatively simple and standardized: capture applications, move candidates through a few stages, and record outcomes. For many organizations, that model remains adequate and is supported by mature tools with strong application tracking, job board integrations, and HR ecosystem connections.

Why ATS platforms use pipelines

Taleruvi is built as a workflow execution system. Organizations design their process—steps, rules, approvals, and compliance gates—and the system runs it. Workflows combine automation (e.g. screening rules, notifications), AI-assisted tasks (scoring, summaries) under your control, human decision points (approvals, interviews), and compliance-aware execution (retention, audit trails, consent). The same engine can support many different process designs rather than a single fixed pipeline.

Why Taleruvi uses workflow execution

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Frequently Asked Questions

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Seminars, webinars, and workshops on AI-enabled hiring with GDPR and human oversight.

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Dynamic DAG engine

GDPR toolkit

LLM-agnostic

Enterprise-grade security

Single Sign-On (SSO)

The underlying engine that powers QUILONS

Platform Capabilities

Hybrid

On-prem & air-gapped

SaaS

QUILONS supports multiple deployment models to fit your security and compliance requirements

Deployment Options

QUILONS Taleruvi brings the QUILONS workflow engine to recruitment teams, with dynamic, AI-assisted hiring pipelines, GDPR-native controls, and support on-prem or air-gapped deployments.

Flagship product: QUILONS Taleruvi

QUILONS powers AI-driven workflows with per-tenant isolation, GDPR-by-design controls, and flexible cloud or on-prem deployments. Use QUILONS Intelligenz out of the box, or bring your own approved AI provider where agreed.

AI workflow platform built for secure, dynamic automation.

QUILONS is an AI workflow platform. It provides a secure, dynamic DAG engine to build and run complex, LLM-powered workflows — with strong isolation, compliance tooling, and deployment flexibility for regulated environments.

What is QUILONS?

Walk through your hiring process and see how Taleruvi would run inside your environment.

Ready to see it in action?

See Taleruvi in action

See how Admin users configure QUILONS Taleruvi.

Configuration: Setting up your solution

Monitor, manage, and launch hiring and onboarding workflows in real time.

Dashboard walkthrough

Deploy QUILONS Taleruvi in your own infrastructure.

On-Premise Setup

Design and connect hiring and onboarding tasks in a visual workflow builder.

Workflow Builder View

Design your hiring process as a workflow, then let Taleruvi execute the operational work between decisions — from candidate to employee — while people stay in control.

How Taleruvi works

Sets up the solution: platform configuration, integrations, security, and tenant settings. One-time or occasional; recruiters and hiring managers don’t need to be technical.

Admin

Reviews candidates, approves shortlists, joins interviews, and makes decisions. No technical setup required.

Hiring Manager

Designs and runs workflows: jobs, evaluations, shortlists, scheduling. Works in the product every day without developer help.

Recruiter

Clear roles so everyone does what they do best.

Built for how teams actually work

Admins set up the platform, integrations, and security so your organization is ready to run. One-time or occasional setup—recruiters and hiring managers don’t need to touch this.

Configure the solution

Recruiters and hiring managers design processes as workflows: from job creation and publishing through evaluation, shortlisting, interviews, and beyond. Each step can be automated, AI-assisted, or require human approval.

Design and run workflows

The same system carries work from job creation and candidate evaluation through contracts, signing, and handoff to onboarding—so the journey is continuous, not fragmented across tools.

Move work from hiring through onboarding

How it works in three steps

Use QUILONS Intelligenz or an agreed supported customer-managed AI provider or compatible model endpoint.

Your AI boundary

Run Taleruvi inside your infrastructure with your organization controlling the security boundary, data, and operations.

Your environment

Air-gapped or highly restricted deployment can be assessed where the required infrastructure and integrations support it.

Restricted environments

Run Taleruvi inside a customer-controlled environment with clear data, AI, and audit boundaries.

Enterprise-ready on-premises deployment

Why the system works for real operations

A typical end-to-end flow. Yours can be simpler or more detailed.

One example: from job to onboarding

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Show us your hiring process, infrastructure constraints, and AI requirements. We will walk through how an on-premises Taleruvi deployment would fit.

See Taleruvi in your environment.

Use QUILONS Intelligenz or an agreed customer-managed AI provider or compatible model endpoint, including local models where supported.

Control the AI layer

Your deployment boundary determines where candidate data, workflow state, audit evidence, and operational records are stored and processed.

Keep hiring data under your control

Deploy Taleruvi on-premises inside infrastructure your organization operates and controls.

Runs in your environment

Air-gapped or highly restricted deployments can be assessed where the required infrastructure, integrations, and operating model support them.

Restricted environments supported

Taleruvi runs inside infrastructure your organization controls, with your security boundary and data lifecycle.

One deployment model: on-premises.

Frequently asked questions

Enterprise hiring automation in your environment.

Taleruvi is sold as enterprise on-premises software. Final scope depends on your environment, integration requirements, support model, and implementation needs.

A software licence scoped to your environment.

WeDoHiring provides Hiring-as-a-Service powered by Taleruvi. Your team stays involved in the decisions that matter while the hiring operation is managed for you.

Prefer a hiring service instead of operating software?

Provide onboarding details for the {plan} plan. These details are sent securely to the provisioning pipeline.

Prepare Tenant Onboarding

Taleruvi lets you attach compliance requirements to workflow steps. Consent, retention, or policy checks can gate progress: the next step runs only when the requirement is satisfied. You get GDPR-friendly documentation (ROPA, DPIA, retention, consent) and execution that respects those rules in the flow.

Compliance isn't only documentation—it affects how and whether workflows proceed.

Compliance built into execution

How Admin users configure QUILONS Taleruvi.

Overview of the Taleruvi dashboard: monitor, manage, and run hiring and onboarding workflows in real time.

A visual, node-based workflow builder where recruiters and hiring managers design and connect hiring and onboarding tasks to automate the hiring process.

Taleruvi runs inside infrastructure your organization controls.

On-Premises Deployment

Run Taleruvi on-premises inside infrastructure your organization controls. Use QUILONS Intelligenz or supported customer-managed AI providers and local models where agreed. Air-gapped or highly restricted on-premises deployment can be assessed separately.

On-Premises

Deploy Taleruvi in an agreed customer-controlled environment so your hiring data, AI, and infrastructure stay within your boundary.

Your environment. Your control.

Taleruvi runs on-premises.

A typical end-to-end flow in Taleruvi. Yours can be simpler or more detailed.

End-to-end hiring and onboarding with enterprise controls.

Everything you need

Everything

you need

Walk through your hiring process, infrastructure constraints, and AI requirements with us.

inside your environment

Taleruvi automates the work between hiring decisions — from candidate to employee — so your team can handle more hiring with less administration.

Increase hiring capacity without increasing hiring overhead.

Increase hiring capacity

without increasing

hiring overhead.

without increasing hiring overhead.

Define the steps that matter to your organization—from job creation and publishing to evaluation, shortlisting, interviews, and beyond.

Design the process as a workflow

Every step can be automated, AI-assisted, approved by a person, or checked for compliance. You decide what runs automatically and where humans or policy must say yes.

Choose how each step runs

Run the workflow. Taleruvi moves candidates and tasks through your process, keeps audit trails, and hands off to the next step—including contracts and onboarding.

Execute end to end

Flags potential bias (e.g. gap penalties, prestige bias, gendered phrasing) in plain language. It never auto-rejects—humans decide.

Bias Check

Ingest CVs from Drive, SharePoint, Dropbox, SFTP, or folders; parse to a clean schema and deduplicate. Prompts and logs keep PII minimal for QUILONS Intelligenz or BYO AI Provider setups.

CV Ingestion

Exportable shortlists with recommendations (Strong-Hire, Hire, Maybe, Consider, Pass). Audit-logged; one-click handoff to scheduling or approvals.

Output

Weighted scores plus must-have rules produce a clear order with rationale. Tiebreaks are intentional so you get actionable shortlists.

Ranking

Candidates are scored against a role-specific rubric (skills, experience, education, relevance). Weights are configurable per workflow.

Scoring

One part of the system: scoring, bias detection, and ranking—driven by QUILONS Intelligenz or your approved AI provider. Transparent shortlists and exportable reports.

AI-powered candidate evaluation

Consistent, explainable candidate decisions with bias surfaced before it becomes a decision. Ranked shortlists with rationale, not just scores.

Why it matters

Taleruvi is built to carry the journey beyond hire: contract generation, sign and send, and handoff to onboarding. Onboarding features (access checklists, day-one tasks, probation reviews) are in active development—privacy-first and on-prem capable.

Through to onboarding

Taleruvi is sold as customer-controlled enterprise software, with annual licensing and deployment scoped to your environment, integration requirements, and support needs.

Enterprise software for your environment

on-premises only

Enterprise on-premises licensing

Show your impact

Better decisions, less bias

Save time on repeatable work

Run workflows, review shortlists, and make decisions. No developer required—Taleruvi handles automation, AI, and compliance so you can focus on hiring.

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