Scalable agentic AI systems.
We engineer production-ready agentic loops, vector pipelines, and semantic caches. Click a layer in the blueprint to inspect code blocks, APIs, and telemetry logs.
// Multi-model prompt gateway router
import { OpenAI } from "openai";
const openai = new OpenAI();
export async function routePrompt(prompt: string) {
const response = await openai.chat.completions.create({
model: "gpt-4o",
messages: [{ role: "user", content: prompt }],
temperature: 0.2,
});
return response.choices[0].message;
}Multi-Model Router Gateway
Smart API gateway routing prompts between OpenAI, Anthropic, or local open-source models based on latency and cost parameters.
Supported Large Language Models & Engineering Frameworks
We build model-agnostic systems integrated with leading model weights, vector caches, and orchestration engines to protect against vendor lock-in.
LLMs & SLMs
- GPT-4o & o1: OpenAI reasoning models
- Claude 3.5 Sonnet: Anthropic context agent
- Gemini 1.5 Pro: 2M token context retrieval
- Llama 3.1 & 3.2: Open weights self-hosted
AI Agent Frameworks
- LangChain / LangGraph: State loops
- LlamaIndex: Dynamic RAG mapping
- CrewAI / Autogen: Multi-agent systems
- Zod / Type-safe: System input validation
Semantic Storage
- Pinecone: Fully managed cloud indexes
- pgvector: Relational index integration
- Qdrant / Milvus: Ultra-low latency query
- Redis: In-memory cache vectors
Hosting & Tooling
- vLLM & Hugging Face: Model weights hosting
- Ollama: Local model runtime pipelines
- LangSmith: Log telemetry evaluation
- BentoML: Package deployment pipelines
Detailed system blueprints. Select a layer to inspect.
Multi-Model Router Gateway
Smart API gateway routing prompts between OpenAI, Anthropic, or local open-source models based on latency and cost parameters.
Who We Work With
FinTech & Compliance
Intent-based risk auditing, multi-model check runs, and database ledger anomalies parsing.
HealthTech & HIPAA
Secure medical charts semantic extraction, patient intake summaries, and patient-matching models.
Customer Support
RAG-powered automated service agents, dynamic ticket routing, and tone analysis checks.
Logistics & Fleet
Dynamic route optimization agents, weather anomaly rerouting, and automated dispatcher loops.
Headless Commerce
AI product recommendation engines, custom chat checkout agents, and user query semantic search.
EdTech & Training
Adaptive testing loops, personalized study companion agents, and lecture transcripts mapping.
Our Delivery Lifecycle
We operate under a structured, highly predictable lifecycle framework. Click on any step to inspect milestones, task details, and deliverable previews.
Context Scoping & Data Mapping
We analyze context window boundaries, retrieval augmentation layers, and model cost projections.
{
"embedding_model": "text-embedding-3-small",
"vector_dimensions": 1536,
"chunk_size": 500,
"compliance": ["GDPR", "SOC2"]
}Frequently Asked
We apply three layers of protection: strict context-bounding via Retrieval-Augmented Generation (RAG), temperature tuning on model prompts, and real-time input/output guardrails that intercept and filter responses.
We establish isolated virtual clouds, implement enterprise API integrations with strict data zero-retention policies, and use local self-hosted embedding models when absolute compliance is required.
Yes. Depending on your workload, performance requirements, and data constraints, we configure routers that interface with closed APIs or host open weights models like Llama 3 on dedicated hardware.
For lightweight applications, we use pgvector inside Postgres to keep tech stacks unified. For high-scale or deep semantic pipelines, we integrate dedicated vector indices like Qdrant or Pinecone.
Ready to integrate agentic intelligence?
Coordinate with our engineering team to outline model frameworks, embedding pipelines, and custom scoping blueprints.