What services does ByteWave Tec deliver?

ByteWave Tec provides unified engineering across nine core practices: ERP Modernization (SAP S/4HANA, Oracle Cloud, Dynamics 365, Workday), CRM Solutions (Salesforce Agentforce, ServiceNow CSM), Risk Management & Compliance (DORA, NIS2, EU AI Act, BCBS 239), ETL & Streaming Data Integration (Kafka, Fivetran, dbt), Big Data & Lakehouse Platforms (Snowflake, Databricks, Redshift, BigQuery, Apache Iceberg), Cloud Architecture (AWS, Azure, Sovereign Clouds, FinOps), AI & Machine Learning (RAG, MLOps, Guardrails), Agentic AI Systems (LangGraph, CrewAI, AutoGen, MCP), and Cyber Security & Zero Trust (IAM, CSPM, SOC 2, ISO 27001).

What is ByteWave's Production Agentic AI Stack?

ByteWave engineers multi-agent autonomous systems using LangGraph (cyclic graph orchestration and human approval gates), CrewAI (role-based agent teams), Microsoft AutoGen, and Semantic Kernel. Interoperability is achieved via Model Context Protocol (MCP) servers and the Google Agent-to-Agent (A2A) protocol, protected by NeMo Guardrails and LangSmith observability.

What makes ByteWave different from Big Four consultancies?

ByteWave deploys named, senior principal architects who write production code and review pull requests from day one, rather than delegating delivery to junior offshore teams. ByteWave covers all nine practice areas under one unified delivery program with fixed-price accountability and zero junior substitution.

Where is ByteWave Tec headquartered and how can I contact them?

ByteWave Tec is headquartered at 13, D.M.C.H.Society Block 3, Shaheed-e-Millat Road, Karachi, Pakistan. Contact by telephone or WhatsApp at 0092 300 924 2033 (+92 300 924 2033), by email at hello@bytewavetec.com, or through https://bytewavetec.com/contact/. Delivery hubs operate across Karachi, Dubai, London, Singapore, and Toronto.

What is the ByteWave 5D delivery methodology?

The 5D methodology consists of: 1. Discover (2–4 weeks: architectural audit, regulatory matrix, fixed-fee SOW), 2. Design (4–8 weeks: target blueprint, security architecture, wave roadmap), 3. Develop (4–18 months: SLSA Level 3 CI/CD, 80%+ test SLAs, senior architects on glass), 4. Deploy (4–12 weeks: wave cutover with 0.0001% parallel-run reconciliation), and 5. Defend (12+ months: 24/7/365 SRE, continuous compliance, FinOps spend governance).

How does ByteWave guarantee regulatory compliance for financial services and healthcare?

ByteWave embeds continuous controls monitoring directly into CI/CD pipelines and infrastructure as code. Compliance artifacts for DORA, NIS2, EU AI Act, BCBS 239, HIPAA, and SOC 2 are generated continuously as immutable audit code, preventing compliance debt and ensuring zero audit findings at go-live.

Home / Frameworks

Our Stack

The agentic stack we ship.

Frameworks, models, protocols, vector stores, observability and guardrails — the production stack ByteWave uses to ship agentic AI at regulated enterprises. Framework-agnostic by design.

Frameworks

Agent orchestration frameworks

ByteWave picks the framework that fits the problem — and we staff architects certified across all of them.

LangGraph

Stateful, graph-based agent orchestration. Best for human-in-the-loop, long-running, durable workflows. We use LangGraph Platform for managed runtime.

CrewAI

Role-based multi-agent teams. Best for collaborative workflows where each agent has a clear persona and toolset. Production-grade task delegation.

AutoGen (Microsoft)

Conversational multi-agent collaboration. Best for code agents, research workflows and human-AI dialogue. Strong .NET integration.

Semantic Kernel

Microsoft's agent SDK for .NET and Python. Best for .NET shops and Azure-native estates. Function calling, planners, RAG, filters.

LlamaIndex

Best-in-class RAG framework. Query engines, agents, workflows, structured extraction, multi-modal ingestion, enterprise connectors.

Pydantic AI

Type-safe Python agent framework with FastAPI-like DX. Best for production teams that value Pydantic validation and dependency injection.

OpenAI Agents SDK

Official OpenAI agent framework. Handoffs, guardrails, tracing, MCP support, session memory. Tight integration with the OpenAI stack.

Google ADK + A2A

Google's Agent Development Kit + Agent-to-Agent protocol for inter-agent collaboration across vendors. Gemini-native.

Models

Foundation models we ship

Vendor-neutral. We pick the model per use case, with eval harnesses and cost / latency guardrails.

OpenAI

GPT-4o, o1, o3, o4-mini, GPT-5. Realtime API, image, audio, vision, function calling, structured outputs, evals.

Anthropic

Claude 4 Sonnet, Opus, Haiku. 1M-token context, computer use, prompt caching, tool use, MCP native.

Google

Gemini 2.5 Pro / Flash, Vertex AI Agent Engine, Grounding with Google Search, multimodal, 2M context.

Mistral

Mistral Large, Codestral, Mixtral. Open-weight, EU-hosted (compliant with EU data residency), cost-efficient.

Llama / Open

Llama 4 Scout / Maverick, DeepSeek, Qwen, Cohere Command. Self-hosted on Bedrock, Azure ML, vLLM, TGI.

Snowflake Cortex AI

Cortex Search, Cortex Analyst, Cortex Fine-Tuning, Cortex Agents. Models run inside the warehouse — zero data movement.

Databricks Mosaic AI

Mosaic AI Model Serving, AI Functions, AI Playground, RAG Studio, Agent Framework, fine-tuning.

AWS / Azure / Bedrock

Bedrock Agents, Azure AI Foundry, Vertex AI Agent Engine. Multi-model routing with managed SLAs.

Protocols

Interop & tool standards

Open protocols over vendor lock-in. Your agents should speak the same language across Snowflake, Databricks, Salesforce, ServiceNow and custom APIs.

MCP

Model Context Protocol

Anthropic-originated open standard for tool / data / resource integration. We ship MCP servers for Snowflake, Databricks, Salesforce, ServiceNow, SAP.

A2A

Agent-to-Agent (Google)

Open protocol for inter-agent discovery, capability negotiation and collaboration across vendors. Agent cards, JSON-RPC over HTTPS.

Function Calling

OpenAI, Anthropic, Google, Mistral, Cohere native function calling. JSON-schema tools, parallel calls, tool-choice modes.

OpenAPI → Tools

Convert any OpenAPI / Swagger spec into a tool registry automatically. We build bridges for SAP BAPIs, ServiceNow REST, Salesforce Apex.

Vector & Retrieval

Vector stores & retrieval

Hybrid BM25 + dense + reranking, with eval-driven tuning. We pick the store that fits the data residency, scale and cost model.

Snowflake Cortex Search

Hybrid retrieval inside Snowflake. Cortex Search Service, Cortex Analyst for text-to-SQL.

Databricks Vector Search

Delta-backed vector index, fully managed, with Mosaic AI integration and Unity Catalog governance.

Pinecone

Serverless vector DB. Serverless indexes, pod-based, hybrid sparse-dense, namespace isolation.

Weaviate

Open-source vector DB. Hybrid search, multi-tenant, modules for Snowflake / Databricks / S3.

Qdrant

Rust-based vector DB. High performance, on-prem and cloud, payload filtering, sparse-dense.

pgvector

Postgres-native. HNSW + IVFFlat indexes, integration with existing OLTP, RLS, row-level security.

Elasticsearch

Hybrid BM25 + dense (ELSER), aggregations, alerting, security analytics, RAG-ready.

Vespa

Battle-tested at Yahoo / Verizon scale. Multi-vector, tensor ranking, hybrid retrieval at petabyte scale.

Observability & Guardrails

LLMOps, evals, observability, safety

The non-negotiable layer between demo and production.

LangSmith / Langfuse

Tracing, evals, prompt management, dataset curation, online & offline A/B testing.

Arize Phoenix

Open-source LLM observability. Tracing, evals, drift, retrieval relevance, hallucination detection.

Datadog LLM Observability

Native APM integration, token & cost tracking, guardrail evaluation, full-stack correlation.

NeMo Guardrails

Programmable guardrails for input, output, dialog. NVIDIA NIM integration.

Guardrails AI

Validator library for structured output. PII redaction, jailbreak resistance, factuality, toxicity.

RAGAS / DeepEval

RAG-specific evals: faithfulness, answer relevance, context precision & recall. CI-friendly.

OpenAI Evals / Inspect

Custom eval frameworks. UK AI Safety Institute Inspect for red-teaming & capability evals.

Temporal / Inngest

Durable execution, long-running workflows, retries, human-in-the-loop, replay for incident analysis.

Deployment Platforms

Where agents run

Managed platforms for fast time-to-value. Or fully self-hosted on your VPC for data residency.

LangGraph Platform

Managed LangGraph runtime. Horizontal scaling, checkpointing, double-pulsar scheduling, async & sync APIs.

AWS Bedrock Agents

Multi-model agents with Action Groups, Knowledge Bases, Guardrails, Flows. SOC2 / HIPAA / GDPR ready.

Azure AI Foundry

Enterprise agent platform. Prompt flow, content safety, evaluators, Azure ML lineage, Entra ID auth.

Vertex AI Agent Engine

Google's managed agent runtime. Gemini-native, A2A support, Cloud SQL / AlloyDB memory, Grounding.

Snowflake Cortex Agents

Run agents inside Snowflake with native tool calling over Cortex Search, Analyst and SQL.

Databricks Agent Framework

Unity Catalog-governed agents with MLflow tracing, Vector Search retrieval, Mosaic AI serving.

Self-hosted (EKS / AKS)

LangGraph / CrewAI / AutoGen on Kubernetes. Full data residency, BYO-model, custom scaling.

OpenShift / Rancher

On-prem for air-gapped environments. Air-gapped model serving, GPU pools, vLLM, private registries.

The right tool, not the trendy tool

We pick the framework per problem.

ByteWave architects are certified across LangGraph, CrewAI, AutoGen, Semantic Kernel, MCP and A2A — and we staff to match your stack, not our preference.

Talk to a framework architect