We build production-grade agentic workflows, custom enterprise applications, and intelligent microservices powered by frontier LLMs.
Our proprietary multi-agent orchestration framework built on the Claude API for automated code auditing, knowledge graph reasoning, and intelligent customer support microservices.
Leverages Claude 3.5 Sonnet’s high-precision contextual reasoning to audit full multi-repository codebases. Parses Abstract Syntax Trees (ASTs), detects race conditions, memory leaks, and OWASP Top 10 vulnerabilities, then automatically writes tested remediation pull requests.
Fuses Claude's structured tool-calling capabilities with Neo4j enterprise property graphs. Unstructured PDFs, contracts, and internal documentation are transformed into relational knowledge graphs, enabling deterministic multi-hop reasoning that eliminates RAG hallucination.
High-concurrency stateful multi-agent swarms built on asynchronous FastAPI and Redis state machines. Handles complex user inquiries, reconciles third-party APIs (Stripe, GitHub, Salesforce), and performs guardrailed actions with human-in-the-loop escalation.
SphereAgent relies on Claude’s world-leading reasoning capabilities, extended 200,000-token context window, and industry-benchmark tool-use fidelity. By pairing Claude 3.5 Sonnet's swift sub-second execution with prompt caching, we reduce agent orchestration latency by 78% while guaranteeing strict adherence to deterministic JSON schemas.
from anthropic import AsyncAnthropic
from sphereagent.graph import Neo4jKnowledgeStore
# SphereAgent Claude 3.5 Orchestrator
client = AsyncAnthropic()
engine = SphereAgent(
model="claude-3-5-sonnet-20241022",
tools=[ASTAuditor(), CypherRunner()],
temperature=0.0,
max_tokens=8192
)
async def audit_codebase(repo_path: str):
plan = await engine.plan_audit(repo_path)
verified_patch = await engine.execute_and_verify(plan)
return verified_patchWhat our engineering team builds for modern enterprises, startups, and institutions seeking high-scale, production-ready AI solutions.
We design and implement custom enterprise LLM pipelines that transcend simple wrappers. From production RAG pipelines to autonomous task execution agents.
Modern frontend and distributed backend engineering built for reliability, sub-millisecond responsiveness, and massive concurrency.
High-accuracy neural networks and vision-language architectures trained for real-time edge and cloud deployment.
From initial architectural blueprint to production-grade SLA
Our platform and client applications are engineered on the most reliable, high-performance frontier tools in artificial intelligence, backend systems, and cloud infrastructure.
Frontier reasoning engine powering our agent swarms. Powers 200k context windows, prompt caching, vision intelligence, and high-fidelity structured tool calling.
The primary language for our AI orchestrators, AsyncIO agent networks, Pydantic data modeling, and machine learning pipelines.
High-performance asynchronous REST and WebSocket microservices, delivering sub-millisecond execution times and auto-generated OpenAPI specs.
Reactive enterprise web interfaces, real-time telemetry dashboards, and Next.js server-rendered web applications with sleek UX.
Containerized microservices and isolated, sandboxed runtime environments for safely executing autonomous agent scripts and code tests.
Deep learning framework for training, fine-tuning, and deploying custom neural networks, computer vision models, and embedding projections.
Enterprise graph database powering deterministic knowledge graphs, Cypher traversals, and hallucination-free entity relationship reasoning.
Ultra-fast in-memory state store for multi-agent conversation history, distributed mutex locks, rate-limiting, and real-time pub/sub brokering.
Unified Production System Pipeline
We don't build toys or fragile wrappers. We are software engineers who build battle-hardened, observable, deterministic AI systems that integrate cleanly into your existing CI/CD pipelines, databases, and microservice meshes.
Every agent action is strictly constrained via Pydantic schemas, AST analysis, and isolated container execution.
You own 100% of the custom software, trained weights, and graph schemas we engineer for your company.
Specialized prompt-caching strategies and token optimizations that slash cloud costs by up to 80%.