AI Software Development Company — From PoC to Production at Scale

    Anisco builds custom AI-powered software for enterprises and growth-stage companies. From large language model applications to autonomous AI agents to predictive ML systems — we deliver AI that reaches production, not just demos. ISO 27001 certified, 8+ years of production AI experience.

    AI Solutions We Build

    Anisco builds production-grade AI software across the full spectrum of modern machine learning. We do not chase hype — we deliver AI that solves real business problems and reaches production with measurable outcomes.

    LLM-Powered Applications

    Custom applications built on OpenAI GPT-4, Anthropic Claude, Google Gemini, or open-source models like Llama and Mistral. Document processing, semantic search, content generation, intelligent automation, and conversational interfaces — all built with proper guardrails, evaluation suites, and observability.

    Custom AI Agents

    Autonomous AI agents that handle multi-step workflows on WhatsApp, Telegram, web, and voice channels. Customer support automation, sales qualification, internal operations, and document workflows. See our dedicated AI Agents page for details.

    Machine Learning & Predictive Analytics

    Custom ML models for demand forecasting, anomaly detection, recommendation systems, and risk scoring. We train models on your data using TensorFlow, PyTorch, or scikit-learn — and deploy them with proper MLOps practices for retraining, monitoring, and continuous improvement.

    Computer Vision

    Image recognition, video analysis, OCR, document understanding, and visual quality control systems. Built on YOLO, Detectron2, Azure Computer Vision, or custom models depending on requirements.

    RAG & Knowledge Systems

    Retrieval-augmented generation systems that ground LLM responses in your proprietary data. Vector databases (Pinecone, Weaviate, Qdrant, pgvector), embedding pipelines, and reranking — all configured for your accuracy and latency targets.

    Industries We Build AI For

    Healthcare AI

    Clinical decision support, patient triage, medical document processing

    FinTech AI

    Fraud detection, transaction monitoring, automated compliance

    SaaS AI

    In-product copilots, conversational interfaces, intelligent automation

    Manufacturing AI

    Predictive maintenance, quality control, supply chain optimization

    Real Estate AI

    Property valuation, document processing, market analysis

    Why Anisco for AI Software Development

    1

    Eight Years of Production AI Experience

    Anisco has been building AI/ML systems since 2018, long before LLMs became mainstream. We know what breaks at scale and how to avoid it.

    2

    ISO 27001 Certified Delivery

    Your data, your customers, and your compliance requirements are protected by international security standards from day one. Critical for healthcare, FinTech, and other regulated industries.

    3

    Production-Focused, Not Demo-Focused

    Most AI projects fail not because the model does not work, but because nobody figured out the deployment, monitoring, retraining, or edge cases. We deliver AI that reaches production and stays there.

    4

    Full-Stack AI Delivery

    We build the model, the data pipeline, the API, the UI, the monitoring, and the admin tools. One partner, one accountable team, one delivery.

    5

    Senior AI Engineers

    Our AI team includes ML engineers, MLOps specialists, and LLM specialists with 5+ years of production AI experience. We do not learn AI on your project.

    Our AI Tech Stack

    LLMs:OpenAI GPT-4o, Anthropic Claude, Google Gemini, open-source models via vLLM
    Frameworks:LangChain, LlamaIndex, OpenAI Assistants API, Pydantic AI
    ML Libraries:TensorFlow, PyTorch, scikit-learn, XGBoost, Hugging Face
    Vector Databases:Pinecone, Weaviate, Qdrant, pgvector
    MLOps:MLflow, Weights & Biases, SageMaker, Vertex AI, Azure ML
    Observability:LangSmith, Langfuse, custom monitoring
    Infrastructure:AWS, GCP, Azure — your cloud, your data residency

    How We Deliver AI Projects

    Phase 11 week

    Discovery & Use Case Validation

    We map your data, validate the business case, and define success metrics before writing code.

    Phase 21–3 weeks

    Data Engineering

    We clean, structure, and prepare your data — typically the most overlooked phase of AI projects.

    Phase 32–6 weeks

    Model Development

    We build, train, and evaluate models against your success metrics. Multiple iterations until performance targets are hit.

    Phase 42–4 weeks

    Productionization

    API endpoints, monitoring, retraining pipelines, and integration with your existing systems.

    Phase 52 months

    Deployment & Hypercare

    Production deployment with observability, plus 2 months of hypercare support.

    FAQ

    Ready to Scale Your Business?

    From strategy to execution, we help companies grow through smart, reliable technology built for long-term success. Our team partners with you to understand your goals, streamline processes, and design solutions that support sustainable growth.

    Get in Touch