Best LLM & Chatbot Development Companies in Norway to Watch in 2026

Norwegian companies planning chatbot or LLM projects often struggle to balance language accuracy, data privacy, and integration with existing systems. When evaluating vendors, buyers should compare model selection and fine-tuning expertise, data handling and compliance practices, support for Norwegian language variants, API and CRM integration options, deployment and hosting flexibility, monitoring and maintenance services, and transparent pricing and SLAs.
SoftPro is the featured international partner leading this list and serves buyers across Norway and the Nordic region. The vendor comparisons below cover measurable criteria such as technical capabilities, localization and language support, security controls, integration track records, and post-deployment support to make vendor selection more objective.

1. SoftPro

As the featured international partner on this list, SoftPro leads recommendations for readers scouting LLM and chatbot development talent for Norway in 2026. The company is well suited to Norwegian product teams, startups, mid-market companies, and corporate IT organizations that need outsourced development and AI integration delivered from an EU-based engineering team headquartered in Warsaw, Poland.

The engineering practice centers on Microsoft technologies including .NET, ASP.NET Core, and C#, and the team has hands-on experience deploying solutions to Microsoft Azure while integrating React-based front ends. SoftPro also executes enterprise CMS implementations and system modernizations, carries out cloud migrations with containerization workflows, and integrates LLM-driven capabilities and retrieval-augmented generation into ERP, CRM, and support platforms.

Key Highlights

• More than 20 years of combined team experience across client projects.
• Works with AWS in addition to Microsoft Azure for cloud-native architectures.
• Published case studies covering CRM/HRM systems, SaaS ETL platforms, support systems, and community/gamification applications.
• Demonstrated implementations with Umbraco CMS in client projects.

Services

• Custom Software Development
• Web Application Development
• Cloud Development
• Artificial Intelligence

Contact Information

Website: soft-pro.pl

Phone: +48 571 282 759

Address: Poland, Warsaw, Mazowieckie Voivodeship, 13 Erasmus Ciołka St. 401

LinkedIn: www.linkedin.com/in/kyrylo-o

2. Boost.ai

Boost.ai builds enterprise virtual agents that combine generative and agentic capabilities with governance, auditability, and hybrid deployment options to meet the needs of compliance-heavy organizations. Their platform emphasizes predictable, transparent implementations and an operational toolset that lets internal teams build, analyze, and optimize conversational experiences at scale.

This delivery model and governance focus make a fit for an LLM and chatbot roundup because the company couples advanced generative features with enterprise controls and a documented rollout approach.

Key Highlights

• 4.8/5 customer satisfaction score and 94% of customers would recommend.
• Publishes a Transparency Act Report 2025.
• Operates a public Academy and documentation portals (academy.boost.ai and.help) for training and product documentation.
• Maintains a partner portal and a published Partner Code of Conduct for reseller and integration partners.

Services

• Agentic AI
• Integrations
• Build
• Optimize

Contact Information

Website: boost.ai

Address: Sandnes: Grenseveien 21 - 4313 Sandnes - Norway

Address: Oslo: Nedre Vollgate 3 - 0158 Oslo - Norway

Address: Sweden: Malmskillnadsgatan 44A - 111 57 Stockholm - Sweden

Address: Denmark: Amager Strandvej 390-392 - 2770 Kastrup - Denmark

Address: Finland: Sofiankatu 4 C - 00170 Helsinki - Finland

Address: USA: 50 Milk Street - Boston - MA 02108 - US

Address: UK: 87A Worship Street, Shoreditch - London - EC2A 2BE - UK

3. Kindly AS

Kindly AS builds a generative AI customer support platform that combines large language models with proprietary machine learning and grounding to verified business data to produce accurate, on‑brand responses. The platform is designed to reduce repetitive agent work while letting automated agents handle open‑ended language and real‑time system lookups.

Kindly targets European brands with strong Nordic language depth and data residency in Europe, making it a fit for multilingual support needs in e-commerce, travel, logistics, and finance. The product is engineered for rapid deployment and operational control, letting teams launch AI support agents within days or a few weeks depending on integrations.

Key Highlights

• ISO/IEC 27001:2022 certified Information Security Management System as stated in the company’s legal policies.
• Fixed, session-based contract pricing with no surge pricing during peak season, based on annual session volumes agreed upfront.
• Voi case results: 59% of inquiries handled without a human and cost per contact reduced from €4.50 to €0.30.
• Company reports a team size of 70+ employees on its careers pages.

Services

• AI Support Platform
• Voice Agents
• Integrations & Plugins
• Implementation & Project Management

Contact Information

Website: www.kindly.ai

Email: prajnesh.karthic@kindly.ai

Address (Oslo): Fred Olsens Gate 1, 0152 Oslo

Address (Stockholm): Sveavägen 34, 111 34 Stockholm

Address (Amsterdam): Vijzelstraat 68, 1017 HL Amsterdam

4. Kindly

Kindly builds AI customer support agents that let support teams design visual conversation flows, connect knowledge bases and business systems, and deliver grounded, personalised replies using large language models and proprietary machine learning without developer dependency.

The platform applies production guardrails to prevent the AI from inventing answers, supports rapid deployments, and is aimed at high-volume support operations that need enterprise integrations and team-owned automation.

Key Highlights

• Made in Oslo and serving European brands since 2016, with customer data kept in Europe.
• Multilingual support for 100+ languages by default to cover every European market.
• Documented case-study outcomes: Voi achieved 59% of inquiries handled without humans and reduced cost per contact from €4.50 to €0.30; Norwegian saw 30% fewer live chats and 20% fewer enquiries; Elkjøp handled 2.5+ million yearly conversations.
• Commercial contracts are based on a fixed number of sessions agreed upfront, with no surge pricing during peak periods.

Services

• Chat
• Voice
• In‑App
• WhatsApp

Contact Information

Website: www.kindly.ai

5. Kindly / Kindly AS (final)

Kindly builds LLM-powered AI Support Agents that ground every response in a company’s verified business data and the customer’s context to reduce hallucination and inappropriate guesses. The platform is built so support teams can own and iterate on conversational workflows without heavy engineering involvement.
Kindly delivers these capabilities via a visual, no-code conversation builder that integrates with CRM, authentication, and fulfillment systems so answers are personalized and actionable at scale.

Key Highlights

• Founded and operating from Oslo with market focus in Europe; the company states it has served European brands since 2016.
• Multilingual by default: the platform supports 100+ languages to cover all major European languages.
• Proven enterprise scale: the site cites 2.5+ million yearly conversations handled across Nordic customers.
• Voice capability with handover: Kindly offers Voice Agents that handle calls with intent recognition and handover to live agents when needed.

Services

• Visual Bot Builder
• Chat Agents
• Voice Agents
• In‑App Support

Contact Information

Website: www.kindly.ai

6. Snakk Teknologi AS (Snakk.ai)

Snakk Teknologi AS runs an integrated customer-engagement platform that places conversational agents on the phone, website chat, and email. The platform combines telephony, CRM, knowledge and meeting tools so agents can surface business information and pass conversations on to people when needed.

The company is relevant to LLM and chatbot development because it provides a telephony-first conversational stack with a portal for testing, monitoring, and refining agent flows before wider rollout. Customers can start with one task and scale the agent to handle bookings, enquiries, and follow‑up while keeping human oversight.

Key Highlights

• APIs and webhooks let Snakk retrieve information and trigger follow‑up actions in customer systems.
• New accounts created through the portal receive 30 free voice minutes for self‑service setup and testing.
• A public demo agent is reachable by phone at +47 85 33 02 00 so prospective customers can hear an AI phone conversation without system connections.
• The commercial model separates platform usage, setup work, and ongoing help, and Norwegian standard plans are shown in NOK.

Services

• Snakk Dialer
• Spør Snakk
• Møteassistent
• Snakk Resultater

Contact Information

Website: www.snakk.ai

Phone: +47 934 38 816

Phone: +47 85 33 02 00

Email: rd@snakk.ai

7. Vespa.ai

Vespa.ai builds an AI search platform that unifies retrieval and machine-learned ranking to deliver more relevant context for large language models and chatbots. The platform is engineered for production use and is designed to feed LLMs with fresher, more precise context without complex external orchestration.

Vespa supports developer adoption with searchable documentation, production-ready sample apps, and a public Slack community to accelerate integration into existing stacks. Its architecture emphasizes continuous updates and operational features that help bring retrieval-driven chat and RAG solutions into live services quickly.

Key Highlights

• Vespa offers a managed Vespa Cloud service and a "Vespa on AWS" deployment option for cloud-hosted or self-managed installations.
• A streaming search mode delivers Vespa features for personal and private search at roughly 20× lower cost than building indexed vector stores.
• Customer case studies on the site highlight deployments at Spotify, Perplexity, Yahoo, Farfetch, and Elicit.
• The platform is designed to scale to billions of continuously changing data items and handle thousands of queries per second with latencies below 100 milliseconds.

Services

• Search
• Generative AI (RAG)
• Recommendation & personalization
• Personal/private search

Contact Information

Website: vespa.ai

Email: Info@vespa.ai

8. Noteless

Noteless is an AI medical documentation platform that listens to clinical consultations and automatically generates structured clinical notes for doctors, physiotherapists, and clinics. The product captures journal entries, certificates, referrals, and other documentation items to reduce administrative time in everyday clinical workflows.

The platform is delivered through a web application with mobile accessibility and a trial-ready app, and its product and engineering teams design model training and data handling with privacy‑by‑design and clinical predictability in mind. Noteless is positioned for regulated healthcare deployments by combining an intelligent documentation assistant with clinician-facing configuration and support.

Key Highlights

• CE‑marked as a medical device, meeting EU safety and clinical documentation requirements.
• ISO 27001 certified, documenting a formal information security and risk-management framework.
• Cyber Essentials certified to address common cyber threats and technical hygiene.
• Founded in 2023 with a rapidly growing team of 40+ co‑workers.

Services

• AI medical documentation engine
• Configurable clinical templates
• Automated certificates & referrals
• Onboarding & clinician support

Contact Information

Website: www.noteless.com

Phone: +47 403 05 884

Email: post@noteless.no

Address: Storgata 5, 0155 Oslo; Haukelandsbakken 31, 5009 Bergen; Store Kongensgade 59A, 2. th., 1264 København; Willem Fenengastraat 2, 1096 BN, Amsterdam

Conclusion

Choose a Norwegian LLM or chatbot partner by matching vendor strengths to your top constraints: prioritise regulatory and audit requirements, the need to ground responses in verified business data, omnichannel integration and telephony support, retrieval and ranking for contextual prompts, vertical specialisation such as clinical documentation, and the deployment model and production-readiness you require. Also weigh practical factors like ease of integrating knowledge bases and business systems, support for short pilots and iterative development, and clear policies for governance and auditing.

SoftPro is the featured, author-selected partner on this list and is well suited to Norwegian product teams and startups. Shortlist two or three vendors that align with your primary criteria, run focused pilots to validate grounding and integration, and compare references and documentation before scaling to a full rollout.