NineStack

Ninestack is a 150-person AI delivery team spread across five offices in Norway, India, the USA, and the UAE. Founded over 12 years ago, the company positions itself around a single principle: the same team that scopes an AI project writes the code, deploys it, and owns the result. No separate strategy consulting layer, no handoff to another vendor. One engagement, one accountable group, one measurable outcome.

The company works across eleven sectors—telecom, OTT, media, fintech, supply chain, retail, travel, manufacturing, food and beverage, mental health, and sustainable energy. Each sector lead has shipped production work in that domain. Projects range from feasibility assessment to full production release, with explicit timelines and metrics baked into the plan from the start.

Services and capabilities

Ninestack's service menu splits into nine categories. AI consulting runs first—the team scores use cases by ROI, names constraints, and hands back a build plan with dates rather than a deck. AI app development follows, with mobile and web apps that have machine learning in the critical path, designed for inference latency and model failure modes. The company builds recommendation engines that move conversion metrics using collaborative filtering and content embeddings. Chatbot development covers multi-turn context and knowledge-base retrieval, with clean handoffs to humans when questions leave the trained domain.

AI agents handle planning and tool calls with audit trails on decisions and human-in-the-loop steps where stakes are high. RAG solutions ground LLM responses in your actual documents via hybrid retrieval, learned re-ranking, and source citations. AI automation targets work that traditional rules engines fail on—document parsing, judgment decisions, exception routing—measured against the manual baseline. The company also builds AI products from validated problem through go-to-market, and customizes foundation models via prompt design, RAG, LoRA, or full fine-tuning based on what the eval shows works, not what's trendy.

For RAG specifically, Ninestack handles document processing across PDFs, web pages, databases, and unstructured text with chunking optimized for retrieval. The embedding and vector search work covers high-quality pipelines with optimized indexes. They implement hybrid retrieval combining semantic search, keyword matching, metadata filters, and knowledge graph traversal. Re-ranking and context assembly rank passages before feeding them to the language model. Source attribution ensures responses cite specific documents and passages. Continuous knowledge sync pipelines automatically detect document changes and update retrieval indexes. Example RAG use cases in the source include enterprise knowledge management, legal research, customer support grounded in product docs, compliance assistance referencing specific clauses, and technical documentation search for engineers.

How they work

Every engagement follows a scoped plan delivered within one business day. Ninestack's model is fixed-scope with a named timeline and measurable result on the other side. The philosophy is simple: the consultant who scopes the work is the engineer who builds it. Roadmaps are pressure-tested against your actual stack, data, and release window before the plan comes back. The company claims outcomes like sales up, support time down, error rate cuts measured and auditable. No separate advisory team, no theater.

For RAG work specifically, the process flows as: knowledge audit and ingestion design (catalog your sources, assess document types, design chunking); retrieval pipeline development (embedding, vector indexing, infrastructure tuned to your content and query patterns); generation and guardrail configuration (LLM integration with prompt engineering and hallucination mitigation); and evaluation and production deployment (systematic evaluation against ground truth, then live rollout with monitoring).

Team and credentials

The company operates 150+ in-house specialists across offices in Fredrikstad and Sandnes (Norway), Goa (India), Delaware (USA), and Dubai (UAE). Specific founder names and founding year are not stated in the source material, but the company claims 12+ years in business. No certifications (ISO 27001, SOC 2, GDPR) or partner badges (AWS, Google, Microsoft) are mentioned in the source. The team structure merges strategy and delivery into a single unit per engagement rather than separating consulting from execution.