Create, Personalize, and Automate with Generative AI
Use large language models and multimodal AI to build assistants, automate workflows, and craft content at scale—with guardrails and observability for production-grade results.
Why Choose Our Generative AI
Reliable foundations, responsible guardrails, and measurable business impact.
Production-Ready RAG
Ground responses in your data with retrieval-augmented generation, robust chunking, embeddings, and evaluation loops.
Faster Time-to-Value
Composable building blocks—prompts, tools, memory, workflows—so pilots ship in weeks, not quarters.
Governance & Safety
PII redaction, policy filters, rate limiting, fallback policies, and audit trails to keep usage compliant.
Our Generative AI Solution Portfolio
End-to-end GenAI services—from discovery and evals to deployment and scale.
AI Assistants & Copilots
Deploy task-oriented copilots that search, reason, and take action—embedded in your apps and internal tools—to accelerate support, operations, and analysis while keeping control, compliance, and measurable outcomes at the center.
- RAG over private knowledge bases
- Tool use & function calling
- Multi-turn memory & user profiles
- Task routing & fallbacks
- Human-in-the-loop review
- Analytics & feedback loops
Content Generation Pipelines
Deliver on-brand, multi-format content at enterprise scale—emails, product copy, FAQs, blogs, and images—powered by governance, evaluation, and automation so teams ship faster without sacrificing accuracy, voice, or compliance.
- Style guides & tone control
- Template & prompt libraries
- Batch & streaming jobs
- Quality gates & eval metrics
- Brand safety & toxicity checks
- A/B testing & drift alerts
Data & Workflow Automation
Automate knowledge work across systems—summarization, routing, classification, and form filling—using reliable pipelines and integrations that reduce manual effort, improve consistency, and provide transparent controls for cost, latency, and quality.
- Document understanding (OCR)
- Structured data extraction
- Routing & classification
- Agentic workflows
- CRM/ERP integrations
- Cost & latency controls
Our Generative AI Implementation Process
Ship fast with a safety-first, evaluation-driven approach.
Discovery & Use-Case Prioritization
We begin by mapping high-ROI opportunities, defining success metrics, and identifying data constraints—while setting guardrail policies that ensure compliance, safety, and measurable business impact.
Prototype & Evaluation
Next, we build a working prototype—a thin slice powered by RAG or tooling—and validate it through automatic benchmarks and human feedback across accuracy, cost efficiency, and latency.
Hardening & Integration
We strengthen the solution with safety filters, monitoring, caching, and fallback models—then seamlessly integrate it into your apps, workflows, and data systems without disruption.
Deployment & Continuous Improvement
Finally, we deploy at scale using feature flags and robust monitoring—continuously refining prompts, retrieval logic, and tools to ensure consistent performance and long-term ROI.
Measurable Impact with Generative AI
Outcomes tracked with evals, analytics, and business KPIs.
Support teams resolve issues significantly faster with AI copilots that surface knowledge, automate workflows, and handle repetitive tasks without sacrificing quality of service.
Self-serve assistants deflect routine inquiries and automate resolutions, reducing overall support costs while allowing human agents to focus on complex, high-value cases.
On-brand, personalized content delivered at scale increases engagement and drives measurable gains in lead conversion, upsells, and customer lifetime value.
Caching, routing, and streaming architectures ensure near-instant responses for end users, even under peak loads and enterprise-scale deployment scenarios.
Trusted by innovators across industries
"Syntheticaire gave us the power to unify our data streams and apply AI directly to decision-making. For the first time, we’re not just analyzing data—we’re acting on it in real time. Their team feels like an extension of ours."
GenAI Technologies & Frameworks
We assemble best-of-breed models, retrieval, tools, and MLOps for dependable systems.
OpenAI
GPT series for language, tools, and reasoning
Anthropic Claude
Constitutional AI with strong tool use
Modal / Serverless GPUs
On-demand compute for pipelines
Llama
Open-weight family for private deployments
Hugging Face
Models, datasets, and inference endpoints
LangChain
RAG, agents, tools, and evaluation utilities
Vercel AI SDK
Streaming UI, tool calling, React server actions
Pinecone
Managed vector DB for fast semantic search
Weaviate
Hybrid vector search with modules
Elastic / ES
BM25 + vector hybrid retrieval and filters
Weights & Biases
Prompt, eval, and experiment tracking
Guardrails & Safety
PII, toxicity, jailbreak & policy filters
Ready to build with Generative AI?
Launch a pilot in weeks—then scale with guardrails, evaluation, and observability.