Build custom AI products and automate existing software with autonomous agents.
We partner with ambitious startups and enterprises to engineer production-ready AI software from scratch, and to retrofit legacy products with tool-calling agents that plan, reason and act across your stack.
Agent plans 4 sub-tasks: auth customer, verify policy, run fraud risk heuristic, trigger voice callback.
call_tool: postgres_db.fetch_policy(customer_id='CL-9082')
query_vector_store: milvus.search(query='windshield coverage terms', similarity=0.94)
dispatch_voice_call: tunk_telephony.trigger_outbound(carrier='plivo', sub_400ms_mode=true)
call_tool: sap_erp.create_settlement(status='APPROVED', amount=480.00)
What we build: four core pillars
Whether you are launching an AI-first venture or modernizing decade-old enterprise software, we supply the agentic architecture and the engineering to reach production.
Greenfield AI product development
We turn concepts into scalable, AI-native products: architecture, vector schema design, web and mobile apps, and production cloud infrastructure.
Existing product automation and AI retrofitting
Skip the 12-month rewrite. We add agentic layers and tool calling on top of your databases, monoliths and enterprise portals, and leave the core systems untouched.
Autonomous multi-agent workflow systems
Specialized agents plan, execute, verify and self-correct across your CRM, ERP, finance and support tools, with human-in-the-loop guardrails where they matter.
Enterprise voice AI and multimodal telephony
Embed Tunk.ai's voice infrastructure in your business. Agents answer calls with sub-400ms turn-taking and human prosody, and sync with your CRM in 50+ languages.
Solutions built for your exact stage
Every business has different constraints. Pick your profile to see the engagement model, timeline and outcomes.
From AI concept to scalable SaaS MVP in weeks, not months
Best suited for: Founders, CTOs and product leaders who want to ship AI-native products with speed and engineering rigor.
Hiring specialized GenAI and agentic engineers is slow and costly, and early architectures often fail to scale or run up unsustainable LLM bills.
We act as your AI engineering team. We architect, code, test and ship your production-ready product with tuned latency, caching and model routing.
Product scoping, UX wireframes and architecture definition
Core agentic engine, vector database and a working end-to-end POC
Full web/mobile UI, auth, Stripe billing and tenant provisioning
Load testing, security hardening, observability and live launch
Engineered on a proven AI stack
No fragile no-code wrappers. Every system runs on tested frameworks, low-latency streaming infrastructure and enterprise-grade vector stores.
Model-agnostic routing for the right balance of latency, cost and reasoning power.
Anthropic Claude 3.5 Sonnet
Complex reasoning and tool callingPrimary engine for multi-step agent reasoning, code generation and structured JSON output.
OpenAI GPT-4o and GPT-4o-mini
Multimodal and high-throughputFast instruction following, vision processing and parallel function calling.
DeepSeek-V3 and R1
Cost-optimized reasoningDense mathematical reasoning and cost-effective bulk operations with open weights.
Self-hosted vLLM / Ollama
Air-gapped and private deploymentsLlama 3.3 and Mistral inside your private VPC for full data residency and zero external egress.
Why forward-thinking teams choose Tunk.ai
How a specialized agentic AI team compares with a traditional software agency or an in-house trial-and-error effort.
| Evaluation Dimension | Traditional Dev Agencies | Internal In-House DIY | Tunk.ai Services |
|---|---|---|---|
| Time to production POC | 3 to 6 months of wireframing | Unpredictable; 4 to 8 months | 14 days to a working prototype |
| Agentic engineering expertise | Web developers learning ChatGPT prompt wrappers | Senior AI leads are hard and expensive to recruit | 4+ years of production GenAI, LangGraph and tool calling |
| Real-time voice and multimodal | Out of scope; needs separate vendors | High latency (>1500ms) with raw API chaining | Sub-400ms turnkey telephony engine in 50+ languages |
| Existing software modernization | Pushes a full, high-risk 12-month rewrite | Feared by the team; risk of breaking legacy flows | Strangler-fig agentic retrofitting with zero downtime |
| Anti-hallucination and guardrails | Basic temperature tuning and regex | Trial and error in production | Multi-agent critic validation and deterministic checks |
| IP ownership | Proprietary agency boilerplate and vendor lock-in | 100% owned, but slow to build | 100% client-owned: code, models, schemas and prompts |
| Deployment flexibility | Rigid proprietary agency hosting | Custom setup | Your AWS, Azure or GCP VPC, or on-prem |
From blueprint to production in three phases
Strict milestones, weekly production demos and no open-ended retainers.
Discovery & blueprint
Architecture sprint and 14-day POC
We audit workflows, inspect schemas and calculate latency budgets. By day 14 you have a working end-to-end prototype on staging.
Live functional POC and architectural system specification
Engineering & hardening
Production hardening and system integration
We build multi-agent loops, deterministic guardrails, database connectors and human-in-the-loop exception gateways.
Hardened staging environment and automated test suite
Rollout & scale
VPC deployment, IP transfer and ongoing pod
We deploy into your VPC, transfer 100% of the IP, train your team, and offer a dedicated pod for roadmap velocity.
Live production release and complete source repository
Calculate your scope and delivery timeline
Choose your objective, components and engagement model to see an estimated timeline and squad. It is a planning guide, and the architecture call turns it into a fixed scope.
Built for regulated industries
Enterprise AI cannot run on black-box assumptions. We engineer to strict security, privacy and compliance standards.
100% IP and code ownership
All intellectual property, proprietary prompt frameworks, agent graph logic and custom connectors belong entirely to you from day one. Full Git repository transfer with commercial rights.
Dedicated private VPC deployment
We deploy directly inside your enterprise cloud (AWS, GCP, Azure or on-prem) with VPC peering, KMS encryption keys and private subnet isolation.
Zero data retention guarantee
Zero customer data leakage. We enforce strict enterprise zero-data-retention (ZDR) agreements. Your training data, prompts and outputs are never stored or used for model training.
Deterministic guardrails and anti-hallucination
We wrap all non-deterministic LLM outputs in strict validation frameworks (Pydantic / Zod), multi-agent critic loops and prompt-injection shields.
SOC 2 and HIPAA architectural patterns
Engineered to strict security best practices with TLS 1.3 in transit, AES-256 at rest, immutable OpenTelemetry audit trails and fine-grained RBAC.
Human-in-the-loop gateway
Confidence-weighted routing sends low-confidence or high-impact actions to an operator inbox with one-click approval, interactive diffs and full state rollback.
Answers to common architectural questions
Our engineering process, IP transfer, security guarantees and deployment timelines.
Traditional dev agencies build CRUD web applications and lack deep expertise in LLM state machines, sub-400ms streaming voice pipelines and hybrid vector RAG. Hiring in-house takes 3 to 6 months of recruiting before writing code. Tunk.ai provides a specialized, senior AI systems pod that delivers a production-grade POC within 14 days and full deployment in 4 to 8 weeks.
Schedule an architecture consultation
Skip the sales pitch. Speak directly with a principal AI systems engineer to evaluate feasibility, estimate timelines and review your architecture.
What happens on the call
A confidential 30-minute introductory & discovery call with a senior AI engineer. We review your architecture, data constraints and deliver a concrete blueprint.
30-min introductory & discovery call
We inspect your schema, stack and latency targets.
14-day POC blueprint and scope
Clear milestones, pricing and squad recommendations.
Mutual NDA, zero lock-in
We execute our mutual NDA or yours before discussing any data.
