Platform Features

Voice AI That Doesn't Just Answer.It Gets the Work Done.

Build, deploy and command your AI Workforce.Kalimera.ai runs autonomous intelligent agents that talk, act, and update systems instantly, while you maintain full oversight at every step.

See How a Call Works →Contact Us

Live conversation transcription00:00

Good morning, how can I help you?

I want to book a blood test for Friday.

Of course. Can I have your full name?

Maria Papadopoulou.

findSlots API → 200 OK · 3 slots

I have 09:30 or 11:00 on Friday. Which suits you?

09:30, please.

createAppointment API → 200 OK

sendSMS → confirmation sent

Done. You will receive a text confirmation now. Anything else?

Resolved without a human: 92%·Illustrative conversation

8M+seconds of conversation in our first 15 months

127,000+calls handled in our first 15 months

+31%average month-on-month growth in usage

+41%average month-on-month growth in calls

Capabilities

One Platform for Your Entire AI Workforce

No separate speech, telephony, retrieval, testing or observability product to license, integrate or operate. And because we continuously upgrade the platform, new capabilities are added all the time.

Choose how to view the capabilities

Conversation and Channels

One agent, every channel, every language.

Low latencyend to end, built for natural turn-taking

65+languages and accents

7channels: voice, WebRTC, SMS, email, WhatsApp, Viber, chat

01
Real-Time Voice PipelineStreaming recognition, reasoning and synthesis, tuned for low latency.
02
65+ LanguagesNative-quality voices and recognition, including Greek.
03
OmnichannelOne agent on voice, WebRTC web phone, chat, WhatsApp, Viber, SMS and email.
04
Inbound and OutboundOverflow handling plus campaigns, on schedule or through the API.
05
Warm TransferHand the live call to a named person, team or number.
06
Machine DisclosureAutomatic disclosure that the caller is speaking to an AI.

Now Live: Voice Ordering

From answering questions to closing the order.

Reliable voice ordering is a far harder problem than a support call: customers don't say product names the way they're written, mix languages and phonetics, split product and quantity across the conversation, and ask questions mid-order. Kalimera.ai now handles it end-to-end for retail, pharma and wholesale — an area where few voice AI platforms even attempt to compete.

PharmacyTwo boxes of the paracetamol five hundred, and, uh, six of the vitamin C effervescent.

Kalimera.aiGot it: 2 × Paracetamol 500 mg and 6 × Vitamin C 1000 mg effervescent. Anything else?

PharmacyWait, is the vitamin C available in the 20-tablet tube?

Kalimera.aiYes, it is in stock. Your order is still open.

Order Basket

Paracetamol 500 mg× 2✓ matched

Vitamin C 1000 mg eff.× 6✓ matched

Structured order → ERP / CRM / API

Illustrative example

Fuzzy, phonetic product matchingFinds the right product even from a partial name, a brand nickname, or a foreign product name spoken with Greek phonetics.
Order basket with real contextHolds every product and quantity across the whole call, even when they're mentioned in separate steps.
Questions mid-orderAnswers usage, packaging or availability questions without losing the order already in progress.
Structured order outputOne clean, structured order, sent by email or posted straight into your ERP, CRM or e-commerce platform over API.

Proven in Production

First Live Year, July 2025 to July 2026

Real operating environments, not laboratory-only development.

87,639calls handled in production

92%autonomous operation without a human

24live enterprise projects

6.35M+seconds of live conversation

Diagnostic Laboratory Network, Greece98-day overflow pilot: 4,568 calls answered and 2,078 appointments booked, a 45.5% conversion. Full ROI in 2.5 months.

Manufacturing and Retail Company, CyprusLive as the digital secretary within a week. Call-centre headcount down 50% within 10 days, and sales up 30%.

Real Estate and Collections11,469 appointments booked in seven months. 12,000 automated collection calls, with 85% of connected debtors continuing the conversation.

Recognition. Two IEEE publications by board members of My Buddy Ltd, the company behind Kalimera.ai: MAMA (November 2025), a decentralized multi-agent framework for knowledge acquisition and orchestration, and MAMA-V (May 2026), its verifiable, security-focused evolution. Certificate of Innovation from the Cyprus Ministry of Research and Innovation, in cooperation with the European Union.

Why One Platform

Five Vendors, or One Platform

Most voice AI projects stitch together a contact-centre platform, voice technology, conversational AI, workflow tools and governance layers from different vendors. Kalimera.ai brings it all into one governed platform, with one contract and one point of control.

The Fragmented Approach

Multiple systems, handoffs and separate controls.

Contact-Centre PlatformVendor 1
Voice TechnologyVendor 2
Conversational AIVendor 3
Workflow and Automation ToolsVendor 4
Integration and Governance LayersVendor 5

Multiple Contracts and VendorsComplex Integrations and HandoffsInconsistent Controls and Visibility

The Kalimera.ai Approach

One platform, unified controls, end to end.

PBX-AgnosticRuns on the telephony you already have
65+ LanguagesNative-quality voice, including Greek
63 Model ProvidersSwap models without rebuilding
LangGraph WorkflowsVisual builder, YAML underneath
One Governed Operating LayerTraceability, approvals and instant rollback

One ContractOne Integration LayerUnified Controls and Visibility

LangGraph-Native · Model-Agnostic · Open System

Vendors5→1

Contracts5→1

Integration layers5→1

Sets of controls5→1

Architecture

One Governed Layer Between Your Customers and Your Systems

Kalimera.ai sits on top of the telephony and software you already run. Nothing to replace, nothing to stitch together. One AI worker follows the customer across every channel: a call starts on the phone, the follow-up lands on WhatsApp, and the full conversation history goes with it.

Customer Channels

Voice (SIP / VoIP)

WebRTC Web Phone

Chat

Viber

SMS

AI workforce platform

Workflow EngineOpen LangGraph graphs, versioned as YAML

Model Layer63 model providers supported, chosen node by node

Knowledge and RAGGrounded answers with hallucination controls

Speech and VoiceStreaming recognition, pooled synthesis, barge-in

Governance on every call Full LLM traceability · four-eyes approval · instant rollback · PII safeguards

Your Systems

ERP

CRM

Calendar and Booking

Ticketing

Collections

Any REST API

How It Works

Follow One Call from Ring to Result

Every call passes through the same six stages. Each one is configurable, observable and replaceable on its own.

Telephony: Connect

Numbers and SIP trunks plug into the phone system you already run. The platform is PBX-agnostic, so there is no infrastructure replacement. A Dial Plan Manager routes calls, and multiple dial-up paths with automatic fallback keep every call answered.

SIP / VoIP65+ providersWebRTC Web PhoneWarm transfer

Human-on-the-loopObserve any live callWhisper to coach the AITake over instantly

Control Loop

Every Change Governed, From Build to Improve

Nothing reaches your customers untested. Every change to an AI worker goes through the same eight steps, then the cycle starts again, so quality keeps rising without surprises.

1BuildDesign the flow
2SimulateTest with AI callers
3EvaluateScore every answer
4RegressRe-run saved cases
5AuditReview and approve
6DeployRelease safely
7ObserveWatch live calls
8ImproveLearn and refine

Open by Design

An Open System, Not a Black Box

Agents run on LangGraph, speak MCP and work with any model. Your investment stays portable.

# Illustrative workflow, defined as YAML
workflow: book_appointment
nodes:
  - id: greet
    type: conversation
    model: fast-routing-model
    extract: [patient_name, exam_type, date]
  - id: create_booking
    type: api_request
    method: POST
    url: https://erp.example.com/appointments
  - id: confirm
    type: send_sms
edges:
  - greet -> create_booking
  - create_booking -> confirm

LangGraph Native

Visual canvas on top, declarative YAML underneath. Versionable, diffable and reviewable like code.

MCP Native

Kalimera registers as a connector for Claude and other assistants, so agents can be built and iterated on by chat.

Model Agnostic

Upgrade or swap a model in configuration, never by rebuilding the agent. Benchmark several side by side first.

Claude / GPT↔MCP↔Kalimera.ai↔MCP / REST↔ERP · CRM · Collections

80%Implementation automated, targeting 98%. MCP-native, so Claude and GPT configure agents directly.

90%Development carried by the digital twin, simulated before any live call.

60+Prebuilt integrations across ERPs, CRMs and enterprise software.

Security and Compliance

Certified, Isolated and Auditable

Compliance sits at the platform layer, below your business logic, so every agent inherits it. Built for security teams and Responsible AI leaders who need to see exactly how data, access and changes are controlled.

ISO 27001Information Security · Q-CERTView certificate ↗Certified

ISO 42001AI Management System · SwissCertView certificate ↗Certified

GDPRData Protection

EU AI ActCompliance Ready

Innovation CertificateRepublic of Cyprus

HIPAACompliant

DORAReady

Aura CertifiedBorderlessCX 2026

Run it where your policies require.

EEA-hosted SaaSHosted and managed by Kalimera.ai in the European Economic Area.
On-Premises optionThe whole platform installed on your own servers, used only by your organisation.
PaaS on our infrastructureYour team builds its own AI workers; we run the infrastructure.
Fail-safe by designMultiple dial-up paths and automatic fallback keep every call answered.
99.95% uptime SLAAvailability guaranteed in the contract.

Implementation

A Practical Path to Production

Start with one focused use case, prove it with your own data, then scale. From kickoff to go-live typically takes 5–7 weeks.

KickoffTypically 5–7 weeksGo-live

1
Focus the Use CaseSelect one operational workflow.
2
Connect SystemsConnect CRM, ERP and telephony, no PBX replacement.
3
Create the DialogueWorkflows, prompts, tone and escalation paths.
4
Test RigorouslyFunctional, edge-case, quality and performance runs.
5
Client UATValidate real scenarios and acceptance criteria.
6
Approve for LaunchResolve findings and secure sign-off.
7
Train the TeamOperators, administrators and support owners.
8
Go Live and ScaleExpand across workflows and channels.

Four approval gates

Gate 1Validation

Gate 2Approval

Gate 3Readiness

Gate 4Go-live

See It Handle a Real Call

Our team will walk you through the platform, answer your questions and show what it can do for your business and your systems.

Contact Our Team →

From answering questions to closing the order.

# Illustrative workflow, defined as YAML workflow: book_appointment nodes: - id: greet type: conversation model: fast-routing-model extract: [patient_name, exam_type, date] - id: create_booking type: api_request method: POST url: https://erp.example.com/appointments - id: confirm type: send_sms edges: - greet -> create_booking - create_booking -> confirm