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We connect your app to leading large language models to power smart chat, content generation, and task automation—customized to your brand and tone.
We help you shape responses that make sense and stay accurate—using retrieval-augmented generation (RAG), embeddings, and vector databases like Pinecone or Weaviate.
Make your UI smarter. We build AI-driven features that turn plain language into action—like commands, queries, or search.
From summarizing support tickets to extracting insights from documents, we automate time-consuming tasks using AI models and custom scripts.
Want control? We help you deploy your own models via Hugging Face, Replicate, or fine-tuned OpenAI APIs—secure, scalable, and integrated into your backend.
We build custom GPT-like assistants that understand your users, brand, and business logic. Use them for support, onboarding, or internal workflows.
Search that understands meaning. We integrate semantic search using embeddings and vector DBs to deliver more accurate and relevant results.
We extract structured data from PDFs, invoices, and more—using tools like Amazon Textract, Google Document AI, or custom OCR models.
Using services like Whisper or AssemblyAI, we convert audio into clean transcripts—great for voice interfaces, recordings, or meeting summaries.
We start by identifying where AI will create the most impact—whether it’s internal efficiency or a new product experience.
We match your needs with the right tech—OpenAI, Claude, Gemini, DeepStack, or a custom model—based on cost, accuracy, and latency.
We connect AI to your product using clean APIs and secure workflows. That includes prompt design, logic, and fallback handling.
We test AI behavior like real users would—checking accuracy, tone, response time, and edge scenarios across prompts and datasets.
We help you go live with analytics and safeguards in place, then refine based on real-world usage and feedback.
