Our verdict
UNKAPPED is a bootstrapped firm that launched in October 2026 to do two jobs at once: build AI agents for business processes and engineer the sales and revenue systems of B2B technology companies. Every engagement starts with a three-week readiness audit, and the work stays in the client’s own accounts. It suits a B2B software or cybersecurity company that wants AI wired into its CRM and revenue operations, and it is less suited to a buyer who needs a firm with years of references.
The right buyer
- B2B technology companies whose sales data is a mess. Its GTM engineering covers buyer signals, account scoring, routing, and revenue operations inside the client’s CRM (launch announcement).
- Cybersecurity, developer tools, and cloud companies. It says it brings depth in those categories (launch announcement).
- Buyers who want to start small. Engagements begin with a GTM and AI readiness audit, and the findings are the client’s either way (homepage).
Reasons to look elsewhere
- It launched in October 2026, so it has no long client history.
- It is bootstrapped and small, with an estimated 10 to 20 people.
- Its focus is sales, marketing, and revenue systems more than core product AI.
UNKAPPED, At A High Level
UNKAPPED is an applied AI and go-to-market engineering firm built on a forward-deployed model: its engineers work inside a client’s systems across sales, marketing, customer success, finance, and operations, build the agents and automations, and stay until they run in production (launch announcement). Sachin Jha, Lakshmi Sindhuri, and Neeraj Kumar co-founded it (homepage).
- Launched on October 12, 2026, bootstrapped, serving companies from Series A to private equity-backed enterprises (launch announcement).
- An estimated 10 to 20 people and estimated annual revenue under $3 million, based on its three co-founders and a senior-only team.
- Holds 10 certifications and partner tiers across platforms such as Clay, HubSpot, and Salesforce (homepage).
- Builds on HubSpot, Salesforce, Snowflake, Databricks, Google Cloud, AWS, Anthropic, and OpenAI, and keeps models swappable (homepage).
Scores by criterion
We scored UNKAPPED from its launch announcement and homepage. Platform independence and the delivery model score highest; stability and independent evidence score lowest because it is new.
| Criterion | Weight | Score | Basis |
|---|---|---|---|
| Production track record | 20% | 5.0 | Launched in October 2026; only anonymized workflow examples so far. |
| Technical depth | 15% | 6.0 | Agents with evaluation sets, risk tiers, and release gates; GTM data engineering. |
| Industry depth | 10% | 6.5 | Cybersecurity, developer tools, cloud, and AI-native software. |
| Delivery model and handoff | 15% | 7.0 | Forward-deployed engineers who hand systems over with a runbook and an internal owner. |
| Commercial clarity | 10% | 5.5 | A fixed-scope audit to start; no published prices. |
| Platform independence | 10% | 7.5 | Builds in the client’s own CRM, cloud, and data, with models kept swappable. |
| Stability and scale | 10% | 4.5 | Bootstrapped and new, with a small team. |
| Independent evidence | 10% | 4.5 | Partner certifications; no public client reviews yet. |
| Overall | 100% | 5.8 | Weighted average |
Where UNKAPPED fits
UNKAPPED is used by B2B technology companies, from early-stage startups to private equity-backed enterprises, that want AI agents and revenue systems engineered inside their CRM and data stack. Its pricing is not published. Competitors on this site include AuxoAI for forward-deployed enterprise teams, Parallel Loop for embedded AI work, and RapidCanvas for managed AI applications.
| Need | Fit | Why |
|---|---|---|
| AI agents inside Salesforce or HubSpot | Strong | Its GTM engineering and revenue agents run in the CRM. |
| Revenue operations for a cybersecurity company | Strong | Its stated area of depth. |
| A short, fixed-scope assessment | Good | Every engagement starts with a three-week readiness audit. |
| A large enterprise AI platform build | Weak | A new, small team focused on commercial systems. |
What clients and leaders say
UNKAPPED’s co-founders describe the firm in its launch announcement. One buyer concern is written from public facts about its age.
“Different stages, same root cause: the systems between the tools were never engineered. That is the work we do.”
“Most companies pay for AI and data platforms they use a fraction of.”
“The audit was useful on its own. Because the firm is brand new, we kept the first build small.”
Where customer reviews couldn’t be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums and product documentation. Based on: UNKAPPED launch announcement; homepage, which describes the audit.
Who leads UNKAPPED
Sachin Jha is co-founder and chief executive, Lakshmi Sindhuri is co-founder and chief operating officer, and Neeraj Kumar is co-founder and chief technology and product officer (homepage).
