Headquarters
13th Floor, GIFT Tower One, GIFT City, Gandhinagar, GujaratMarketing & GTM Consulting
Positioning, channel strategy, and an AI-assisted go-to-market motion — from messaging through to the systems that run the pipeline.
Advisory Overview
Typical Engagement: 3 to 6 Weeks AdvisoryStrong products often struggle to grow because the positioning is unclear, the right acquisition channels are not defined, and marketing and sales systems operate separately. Our GTM consultants help teams clarify their market position, sharpen messaging, identify the right channels, and design AI-assisted systems that turn demand into a measurable, repeatable pipeline.
Tangible Deliverables You Receive
- Positioning & Messaging Strategy
- Channel Strategy and Go-to-Market Plan
- AI GTM System Design and Workflow Blueprint
- Pipeline Metrics and Conversion Dashboard
- CRM, Lead Qualification & Follow-Up Playbooks
Our 4-Step Advisory Process
How our senior technology consultants guide your team from initial audit to production handover.
Positioning & Messaging
We analyze your product, target customers, competitors, and existing messaging to define a clear market position, differentiated value proposition, and messaging framework for your key customer segments.
Channel Strategy
We identify and prioritize the acquisition channels best suited to your business — including outbound, inbound, content, partnerships, paid acquisition, and product-led channels — and create a practical channel plan.
AI GTM System Design
We design AI-assisted workflows for lead qualification, enrichment, outbound research, personalized follow-up, meeting booking, CRM updates, and sales handoffs while fitting into your existing sales and marketing stack.
Pipeline Metrics & Optimization
We establish the metrics needed to measure GTM performance, including lead-to-meeting conversion, pipeline velocity, channel performance, qualification rates, customer acquisition cost, and revenue attribution.
Technologies & Supported Stacks
Business Impact
- Clearer positioning that makes your product easier to understand and buy
- Focused acquisition channels aligned with your target customers
- AI-assisted workflows that reduce repetitive GTM work
- Faster lead qualification and more consistent follow-up
- Better visibility into pipeline performance and conversion
- A repeatable GTM motion that can scale with the business
Common Scenarios
- Launching a new product or entering a new market
- Repositioning a product for a clearer target customer
- Building a scalable outbound or inbound acquisition motion
- Introducing AI into marketing and sales workflows
- Improving lead qualification and follow-up processes
- Connecting marketing activity to measurable pipeline and revenue
- Fixing unclear messaging, weak conversion, or inconsistent GTM execution
Engagement Formats & Pricing
Choose the advisory structure that matches your current momentum. Fixed scopes, transparent pricing, and zero open-ended billing meters.
Executive Workshop
Leadership alignment, feasibility scoring, and high-level architecture roadmap before committing team resources.
- Technical AI readiness audit & maturity score
- High-ROI use-case feasibility matrix
- Target-state architecture & model selection blueprint
- Inference compute & token cost forecast model
Architecture & Delivery Sprint
In-depth system design, code repository audits, LLM eval benchmark harnesses, or unblocking complex roadmap features.
- Formal Architectural Decision Records (ADRs)
- Hands-on codebase & security vulnerability review
- Evaluation benchmark harness for LLM accuracy/latency
- Sprint-ready backlog with engineering specifications
Strategic Advisory Retainer
Fractional Head of AI or CTO advisory, continuous architecture reviews, vendor evaluations, and board technical oversight.
- Weekly executive technical strategy sessions
- Asynchronous architecture & PR code review support
- Vendor due-diligence & AI build-vs-buy analysis
- Priority incident and architectural escalation access
Advisor Profile
Direct strategic leadership from engineers who have shipped autonomous systems to production under stringent enterprise SLAs.

Tirth Patel
Leading enterprise AI strategy, system architecture, and autonomous platform development at Neno Technology. Over a decade of deep technical experience engineering high-scale distributed backends, low-latency telephony infrastructure (<200ms), and multi-agent production swarms.
“We advise from active production codebases, not theoretical slide decks. Every recommendation we give is grounded in architectures we have personally shipped, hardened, and benchmarked under live enterprise traffic.”
