RAG Systems
Search-augmented generation over your docs, databases, and APIs with vector stores (Pinecone, Weaviate, Qdrant, Redis) and robust retrieval/evals.
AI Development Services & Artificial Intelligence Solutions
As a specialist AI development company, we design, build, and ship production-grade AI—LLM apps, RAG systems, autonomous agents, and custom models. Our custom AI development services are grounded in your data, security, and ROI.
Our AI development services cover end-to-end artificial intelligence solutions—from RAG systems and chatbots to agents, vision models, and full MLOps pipelines.
- Enterprise-ready RAG (documents, SQL, APIs)
- Chatbots & copilots for ops & support
- Agents: automation & workflow orchestration
- Fine-tuning & prompt-engineering playbooks
- Vision / Speech: OCR, captioning, TTS/ASR
- MLOps: evals, tracing, observability
What we build
Chatbots & Copilots
Role-aware assistants for operations, finance, support, and sales—secure, audited, and connected to real data.
AI Agents
Multi-tool agents to triage tickets, generate reports, call APIs, and run scheduled jobs with guardrails and human-in-the-loop.
Fine-Tuning & PromptOps
From prompt libraries and templates to LoRA/FT pipelines, we optimize for accuracy, latency, and cost.
Vision & Speech
OCR/classification, captioning, RAG-on-images, speech-to-text and high-quality TTS for IVR and product UX.
MLOps & Safety
Evals, tracing, monitoring, PII redaction, rate-limits, and policy guardrails. CI/CD for prompts and models.
Selected Case Studies
RAG for Field Ops
Indexed 12k PDFs, SOPs, and Jira pages. Reduced time-to-answer by 72% and call escalations by 38%.
Support Copilot
Context-aware chat with Zendesk+CRM. First-response time down 41%; CSAT +12 points.
Reporting Agent
Agents that compile KPIs from data warehouses and ship executive briefs daily. Hours saved weekly.
How we deliver
1. Discovery
Use-cases, north-star metrics, data audit, success criteria.
2. Prototype
Clickable demo in 1–2 weeks; rapid evals on your data.
3. Pilot
Guardrails, auth, observability, small user cohort.
4. Production
Scalable infra, SLAs, cost & latency budgets, training.
Preferred Stack
Models & Providers
OpenAI, Anthropic, Azure OpenAI, AWS Bedrock (Llama, Mistral, Cohere), Vertex AI.
Frameworks
LangChain / LlamaIndex, FastAPI, Django, Next.js, Streamlit, Airflow.
Vector & Data
Pinecone, Weaviate, Qdrant, Redis, Postgres/pgvector, S3, BigQuery, Snowflake.
Observability
Langfuse, OpenTelemetry, Weights & Biases, Prometheus, Grafana, Sentry.
Security
Row-level access, PII scrubbing, encryption at rest & transit, least-privilege IAM.
Bring AI to your roadmap—safely and fast
We’ll apply our AI development services to scope a tiny, measurable win in week 1 and scale only the artificial intelligence solutions that prove real value.
