Ascenda
Hong Kong · Enterprise AI Consulting

Enterprise AI —
engineered,
not just advised.

Ascenda Consulting pairs Swiss and German enterprise delivery standards with a frontier AI engineering practice. We build production systems — and hand them over running.

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By the numbers

~70%LLM cost reduction
34k+products AI-searchable today
80%+automated test coverage
The Ascenda Approach

Why most enterprise
AI projects fail

Vendors demo hallucination-prone prototypes. Strategy consultants write slide decks. Neither ships a system that holds up under real enterprise load. Ascenda does.

Enterprise Depth

Proven enterprise delivery in data warehouses, Agile transformation, and product leadership across Swiss, German, and APAC enterprises.

AI Engineering

Production RAG systems, LLM evaluation frameworks, and AI-native development tooling — shipped, monitored, and maintained in production.

Delivered by Senior Practitioners

Ascenda does not staff client projects with graduates. You work with the architects and engineers who designed the system.

Services

What Ascenda delivers

Enterprise AI & RAG

Production-grade AI that answers from your data.

End-to-end RAG pipelines with semantic caching delivering ~70% LLM cost reduction. Architecture, LLM selection, evaluation, and production deployment.

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AI-Powered Search

When your customers search like humans.

Natural language product search with AI-powered query understanding. B2B permission model enforcement built in.

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LLM Quality Assurance

You can't ship AI you can't measure.

Structured evaluation frameworks, automated test suites, CI-integrated eval gates, and monthly AI performance reporting.

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Document Intelligence

Turn PDFs and manuals into queryable knowledge.

Recursive crawlers, document parsing, versioned snapshots with change detection, and vector search integration.

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Technology Stack

180+ technologies.
One engineering team.

AI & LLM

OpenAIAnthropic ClaudeLangChainLlamaIndexLiteLLMCohereHuggingFaceDeepSeekLlamaParseDoclingUnstructuredDeepEvalPromptfooRAGASLangSmithpgvectorPineconeChromaDBQdrantWeaviateGPT-4.1Claude SonnetGemini ProMistralOpenAIAnthropic ClaudeLangChainLlamaIndexLiteLLMCohereHuggingFaceDeepSeekLlamaParseDoclingUnstructuredDeepEvalPromptfooRAGASLangSmithpgvectorPineconeChromaDBQdrantWeaviateGPT-4.1Claude SonnetGemini ProMistral

Backend & Data

PythonFastAPIPostgreSQLRedisTypesenseElasticsearchOpenSearchNeonSQLAlchemyPydanticdbtApache AirflowCeleryn8nPrefectSnowflakeBigQueryAmazon RedshiftMongoDBFlaskDrizzle ORMPrismaApache SparkSQLModelPythonFastAPIPostgreSQLRedisTypesenseElasticsearchOpenSearchNeonSQLAlchemyPydanticdbtApache AirflowCeleryn8nPrefectSnowflakeBigQueryAmazon RedshiftMongoDBFlaskDrizzle ORMPrismaApache SparkSQLModel

Frontend & Cloud

TypeScriptReactNext.jsTailwind CSSVercelAWSGoogle Cloud PlatformAzureDockerGitHub ActionsKubernetesCloudflareClerkSentryStripeTurborepoPlaywrightVitestJestshadcn/uiRadix UIZodBunPoetryTypeScriptReactNext.jsTailwind CSSVercelAWSGoogle Cloud PlatformAzureDockerGitHub ActionsKubernetesCloudflareClerkSentryStripeTurborepoPlaywrightVitestJestshadcn/uiRadix UIZodBunPoetry
  • OpenAI
  • Anthropic Claude
  • LangChain
  • LlamaIndex
  • LiteLLM
  • Cohere
  • HuggingFace
  • DeepSeek
  • LlamaParse
  • Docling
  • Unstructured
  • DeepEval
  • Promptfoo
  • RAGAS
  • LangSmith
  • pgvector
  • Pinecone
  • ChromaDB
  • Qdrant
  • Weaviate
  • GPT-4.1
  • Claude Sonnet
  • Gemini Pro
  • Mistral
  • Python
  • FastAPI
  • PostgreSQL
  • Redis
  • Typesense
  • Elasticsearch
  • OpenSearch
  • Neon
  • SQLAlchemy
  • Pydantic
  • dbt
  • Apache Airflow
  • Celery
  • n8n
  • Prefect
  • Snowflake
  • BigQuery
  • Amazon Redshift
  • MongoDB
  • Flask
  • Drizzle ORM
  • Prisma
  • Apache Spark
  • SQLModel
  • TypeScript
  • React
  • Next.js
  • Tailwind CSS
  • Vercel
  • AWS
  • Google Cloud Platform
  • Azure
  • Docker
  • GitHub Actions
  • Kubernetes
  • Cloudflare
  • Clerk
  • Sentry
  • Stripe
  • Turborepo
  • Playwright
  • Vitest
  • Jest
  • shadcn/ui
  • Radix UI
  • Zod
  • Bun
  • Poetry
Featured Case Study

B2B Scientific E-commerce · APAC

Natural language search
for 34,000+ scientific
products.

A two-phase Typesense + GPT-4o-mini RAG pipeline for a B2B scientific supplies distributor. Phase 1 extracts semantic signals; Phase 2 applies them as intelligent boosts — preventing hallucinated category locking. Regulated product access control baked in. Delivered as a production system, not a prototype.

80%+ test coverage
~70% LLM cost reduction
Read the case study
~70%reduction in LLM API costs via Redis semantic caching
34k+products with natural language search and regulated access control
80%+automated test coverage across the production codebase

Client portfolio

National Postal Services Provider (Switzerland)
Pan-European Retail Group
Global Beverage Manufacturer
B2B Scientific Supplies Distributor (APAC)
Precision Sealing Solutions Provider (USA/Europe)
Laboratory Equipment Manufacturer (Japan)
About Ascenda

The consulting firm
that ships the code.

Most AI consultants advise. Most enterprise consultants write strategy documents. Ascenda does neither — we design the architecture, write the implementation, deploy it, and hand over a running, documented system.

Swiss and German enterprise delivery standards. A frontier AI engineering practice built for production. Based in Hong Kong with operations in Manila and reach across APAC and Europe.

About Ascenda

Senior delivery only

No juniors. No account managers. Ascenda delivers at the level it sells.

European rigour

Swiss and German enterprise standards — governance, data privacy, structured methodology.

AI-first practice

Production RAG systems, LLM evaluation, and AI-native tooling — built and maintained, not advised.

How we engage

From first message
to live system.

A predictable, low-friction process — no prolonged procurement cycles.

Start the process
0130 min

Discovery call

A 30-minute conversation to understand your challenge, current architecture, and what success looks like. No pitch deck — just direct questions and honest answers.

023–5 days

Scoping & proposal

We produce a brief scoping document: problem statement, proposed approach, deliverables, timeline, and fixed or time-and-materials cost estimate. Clear and contractual.

03Agreed scope

Delivery

Senior practitioners deliver the work — architecture, implementation, testing, deployment. You have direct access to the people building the system throughout.

04Included

Handover

Every engagement ends with documentation, runbooks, and a structured knowledge transfer. You own the system and can maintain it without us if you choose.

Ready to build?

Not sure Ascenda
is the right fit?

Send a message. We'll tell you honestly.